Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study a...Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study aimed to determine the prevalence and factors associated with non-return to work among surviving motorcyclists involved in road accidents 12 months after the event. Materials and Methods: It was a cross-sectional study conducted using data from a cohort of motorcyclists involved in accidents and recruited in five hospitals in Benin from July 2019 to January 2020. The dependent variable was non-return to work 12 months after the accident (yes vs no). The independent variables were categorized into two groups: baseline and 12-month follow-up variables. Logistic regression was used to determine the factors associated with non-return to work at 12 months among the participants. Results: Among the 362 participants, 55 (15.19%, 95% CI = 11.84 - 19.29) had not returned to work 12 months after the accident. Risk factors for non-return to work identified were: smoking (aOR = 4.41, 95% CI = 1.44 - 13.56, p = 0.010), hospitalization (aOR = 2.87, 95% CI = 1.14 - 7.24, p Conclusion: The prevalence of non-return to work at 12 months was high among surviving motorcyclists involved in road accidents in Benin. Integrated support for patients based on identified risk factors should effectively improve their return to work.展开更多
Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidem...Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidemiological and clinical analysis of ORL and cervicofacial injuries observed in victims of road accidents treated at the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. Materials and Methods: This prospective and descriptive study was conducted over a period of 12 months, from January 1st to December 31st, 2021, within the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. It included patients hospitalized for ORL and/or cervicofacial traumas resulting from road accidents during the study period. Results: A total of 348 cases were included, representing 36.22% of all traumas related to road accidents (AVP) within the Regional Hospital of Mamou. The average age of the patients was 26.44 years, with a sex ratio of 3.83, favoring males. The dominant socio-professional category was students, encompassing 32.47% of cases. Road accidents were mainly associated with motorcycle use (31.32% motorcycle-to-motorcycle, 24.43% motorcycle skidding, 13.51% motorcycle-pedestrian). Facial region injuries were the most common, accounting for 69.03% of cases, followed by rhinological injuries (17.28%) and otological injuries (13.69%). Associated injuries were predominantly closed head traumas (52.55%) and lower limb fractures (20.41%). Imaging was underutilized. Regarding surgical interventions, reconstructive surgery was the most predominant, accounting for 52.51% of cases, with a management timeframe of 30 minutes to 12 hours for 99.72% of patients. Conclusion: Road traffic accidents remain a serious public health issue, primarily affecting young males. Emphasis should be placed on road safety measures to reduce the frequency of these accidents.展开更多
This paper studied the spatial accessibility of emergency facilities to road accident victims in Federal Capital City to determine the sufficiency of existing emergency health care facilities and rescue facilities in ...This paper studied the spatial accessibility of emergency facilities to road accident victims in Federal Capital City to determine the sufficiency of existing emergency health care facilities and rescue facilities in servicing accident victims. This is useful for developing means of saving the lives of accident victims in the Federal Fapital City (FCC). The data used comprised of Nigerian Sat II 2013 multispectral imagery (5 m multispectral and 2.5 m Panchromatic) of FCC obtained from the National Space Research and Development Agency (NARSDA), coordinates of seventy (70) accident black spots, five (5) zebra points and sixteen (16) emergency health care facilities obtained from Federal Road Safety Commission (FRSC). ArcGIS 10.0 software was used to display, visualize, identify and extract features from the imagery, and create maps from different layers of the spatial data, choose colors and symbols, create buffer zones, analyze spatial relationships, and design map layouts. Purposeful sampling method was adopted to administer 99 questionnaires to accident victims in the hospitals within the FCC. The spatial data were used to determine the time of rescue, type of rescue and coverage time of rescue operation. The statistical data were used to assess the spatio-temporal distribution of accidents and determine the level of response by the rescue teams. The results show that accident victims have adequate access to health facilities but inadequate access to zebra points, and passers-by have more effective accident response than the government action agencies. Specific points for the creation of additional zebra points were identified through buffering, and the creation of sustainable Good Samaritan programs and training for community persons in first aid were suggested. Meanwhile, further research to determine the impact of time of rescue, type of rescue and category of hospital on the accident victims was suggested.展开更多
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with th...This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>展开更多
This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road acc...This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road accidents and how to mitigate the problem. The study used secondary data collected from the repository database of traffic police at the division of Tanzania Road Safety Squad. Data were collected at the events of accident occur</span><span style="font-family:Verdana;">re</span><span style="font-family:Verdana;">nces and reported annually by regions. Panel data analysis was used to allow for controlling variables which cannot be observed over time and across areas such as regions. Pooled Poisson model, fixed effect and random effect Poisson model was applied to assess factors for road traffic accidents. Fixed effect model was the best model with a reasonably good fit. Results indicated that all predictors are significant under fixed effect Poisson model with </span><span style="font-family:Verdana;">a </span><span style="font-family:""><span style="font-family:Verdana;">p-value less than 0.05 but Passengers and Railway crossing road was found insignificant and dropped in the final model. Laws and regulatory frameworks should be formulated and enforced promptly for Tanzania may reach the target of 2</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> decade of action for roads safety 2021-2030.展开更多
The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:&...The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">limb injuries during a serious road accident. </span><b><span style="font-family:Verdana;">Aim:</span></b><span style="font-family:Verdana;"> the aim is to show the increasing of road accident with the motorized tricycle and their many risks for pregnant woman. </span><b><span style="font-family:Verdana;">Case Presentation:</span></b><span style="font-family:Verdana;"> our patient was thrown from the back cargo of a motorized tricycle (three-wheeled vehicle) after a collision with a truck in a rural area from 150 km to Bobo-Dioulasso. She sustained a closed abdominal injury and a severe right lower limb open injury. At admission in our depart</span><span style="font-family:Verdana;">ment in the Teaching Hospital, she was conscious, shocked with hemodyn</span><span style="font-family:Verdana;">amic instability, including low blood pressure (75/52 mmHg), rapid heart rate (140 pulses per minute), rapid breath rate (40 per minute), and cold extremities. Abdominal examination was painful with uterine hypertonia, 28 cm height uterus, and no fetal heart heartbeat. A laparotomy in</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">urgency revealed a rupture of the uterus fundus with a dead fetus. A conservative surgical treatment was performed. An open trauma to the right limb was managed by the orthopedists with a good outcome. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Accident trauma during pregnancy is becoming more and more frequent with the increase in means of transport in urban and inter urban areas. The transport ways of the pregnant woman must take into account her safety and that of the fetus.展开更多
This paper highlights the typology of road accidents related to the default of signing for many accidents have occurred due to imperfect signposting along roads in Cameroon. The Yaoundé-Douala highway has been ch...This paper highlights the typology of road accidents related to the default of signing for many accidents have occurred due to imperfect signposting along roads in Cameroon. The Yaoundé-Douala highway has been chosen for this study. Available Field data recorded during the years 2007, 2009 and 2011, have enabled the analysis of each accident. It appears that amongst the 569 accidents recorded along a section of 114 km, 108 cases (about 20%) result from the default or lack of signing. From a clinical analysis, four scenarios of accidents that occurred by collision were found on one hand, and on the other hand, seven were elaborated based on factors such as: no signposting at crossroads, the lack of vertical and/or horizontal alignmentor slightly raised bump and the deficiency of signpost for normal parking layouts or no parking at certain critical points.展开更多
In recent years, road accident fatalities in Nigeria have continued to be on the increase. Thus, urgent attention is needed to reduce or eliminate road accidents fatalities. To achieve this goal, the cumulative sum (C...In recent years, road accident fatalities in Nigeria have continued to be on the increase. Thus, urgent attention is needed to reduce or eliminate road accidents fatalities. To achieve this goal, the cumulative sum (Cusum) control chart scheme was designed for monitoring the road accident fatalities using the recorded occurrence of road accident fatalities in a state in the western part of Nigeria. The designed Cusum detects the period of the years when the highest occurrence of road accident fatalities occurred. These periods were observed to be festive periods such as Christmas, Easter, Eid-el- Kabir, and Eid-el-Moluod. Therefore, the festive periods of the year should be used as benchmark by road managers as periods where more attention or precaution measure should be put in place on the roads to drastically reduce or eliminate high occurrence of road accident fatalities. The designed Cusum control chart can be adapted for other states in the country and also for the larger society for detecting the periods when the rate of death as a result of road accidents was prevalent.展开更多
In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The...In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The model combines the advantages of both grey forecasting method and Markov chains forecasting method, overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. An application example is conducted to evaluate the grey-Markov model, which shows that the precision of the grey-Markov model is better than that of grey model in forecasting road accidents.展开更多
Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that af...Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in terms of health, property damage and other economic factors. Sometimes, it is found that road accident occurrences are more frequent at certain specific locations. The analysis of these locations can help in identifying certain road accident features that make a road accident to occur frequently in these locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. In this paper, we first applied k-means algorithm to group the accident locations into three categories, high-frequency,moderate-frequency and low-frequency accident locations.k-means algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these locations. The rules revealed different factors associated with road accidents at different locations with varying accident frequencies. Theassociation rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of accidents. High-frequency accident locations mostly involved two-wheeler accidents at hilly regions. In moderate-frequency accident locations, colonies near local roads and intersection on highway roads are found dangerous for pedestrian hit accidents. Low-frequency accident locations are scattered throughout the district and the most of the accidents at these locations were not critical. Although the data set was limited to some selected attributes, our approach extracted some useful hidden information from the data which can be utilized to take some preventive efforts in these locations.展开更多
Introduction: Precise spatial location of accidents is relevant for accidentology researches or road safety investigations. Objective: The aim of this study is to investigate a number of factors associated with the ge...Introduction: Precise spatial location of accidents is relevant for accidentology researches or road safety investigations. Objective: The aim of this study is to investigate a number of factors associated with the geolocation of road accidents in the city of Cotonou in 2019. Methods: It was a cross-sectional, retrospective study with an analytical focus. Results: This study highlighted a prevalence of coordinates of the GPS reported at 41.63% in 2019 relating to the files of accidents on public roads during the period from April 18 to June 12, 2020. The work was carried out from 384 accident files examined in the 6 districts of Cotonou selected randomly. A logistic regression made it possible to sort out associated factors with using GPS in road accidents. The final model retained through the “ascending step by step” modeling was adopted. The average age of the responsible agents in charge of the observation was around 32 years (32.13 ± 3.17). Geolocation identified associated factors were: the level of instruction with odd Ratio 2 and its 95% confidence interval f [1.02 - 2.40], the means of conveyance odd ratio 2.56 and its 95% confidence interval of [1.21 - 5.41], the severity level of the accident with its odd ratio 4.59 and its 95% confidence interval of [2.82 - 8.32], and the type of day on which the accident occurred with odd ratio 0.56 and its 95% confidence interval f [0.437 - 2.553]. As for the quality of the reported GPS coordinates, 85% of them were good quality. Conclusion: The reduction of road accidents, given its serious nature and extent, requires strategies to promote geolocation of accidents to ensure better identification of risk areas and decision-making adapted to the accident phenomenon.展开更多
Introduction: Road traffic put people at risks and needs health education to avoid accidents and deaths. This article aimed to build up a typology of public road accidents (public road accidents) and risk factors asso...Introduction: Road traffic put people at risks and needs health education to avoid accidents and deaths. This article aimed to build up a typology of public road accidents (public road accidents) and risk factors associated with in the provincial city of Kinshasa and its peripheral cities (Kasangulu and Mongata), to identify the profiles of the vehicles and people involved in these public road accidents. Method: We conducted a prospective eco-analytical study on a stratified random sample whose size was determined by the Fischer formula. Results: Overall, from March to May 2017, we witnessed an incidence of public road accidents cases ranging from 139 public road accidents cases in the city province of Kinshasa and its two peripheral areas: road axes of high concentration: Rte Blvd Lumumba-Airport;Rte Poids Lourd-Pont Matete, the axes of medium concentration: Rte N21-IMBU, Rte Blvd 30 juin-socimat;Rte Matadi-Kasangulu toll;Rte Université-Intendance, Rte By Pass-triangle Maman Mobutu-Kintambo (Rte-Matadi)-Toll/lère virage-Triangle Maman Mobutu and those of low concentration were: Rte du tourisme/Mimoza-Mbudi;Rte Matadi-Terrain Siwabanza. Conclusion: In these areas, public road accidents are a real public health problem that deserves sustained attention from all and especially from decision makers. Interventions must concern the HVE accident complex.展开更多
Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such ...Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such as the frequent loss of lives and valuables when accident occurs. The best course of action to handle these issues is to set up an autonomous incident detection system using wireless communication, 5G technologies and the Internet of Things. IoT is a seamless technology that increases the connectivity between humans and machines. It is web-based, and improves communication between vehicle to vehicle, vehicle to infrastructures, transfer of data and information to predict incident occurrences through various networks and frameworks such as eCall, OneM2M and integration of mobile broadband. Additionally, internet of things is being adopted for public safety;for instance, it can speed up first responders’ response times to situations by displaying the best routes to a scene of an accident. The rapid development of 5G is happening in parallel with developments of internet of things (IoT), artificial intelligence (AI), and smart platforms for novel applications such as mission-critical communications. 5G is a new generation technology that operates on the Ultra High Spectrum Band UHSB. It is an innovation that uses the pedestrians-vehicle-road-cloud, and the communication between vehicle locations and temperature of high-quality connection. It is essential for intelligent transport systems because it allows for information sharing, prediction of incidences as safety is the primary concern of road transport. This review examines accident detection through 5G technology, integrated mobile broadband, and multiple inputs multiple outputs (MIMO) wireless system. Finally, we conclude by examining recent technology, challenges, present and future research trends.展开更多
Motorcycles transport commonly known as(Boda boda)in Tanzania has been growing up in the recently years in both urban and rural areas.Since motorcycles transport being authorized to carry passengers in the Tanzania it...Motorcycles transport commonly known as(Boda boda)in Tanzania has been growing up in the recently years in both urban and rural areas.Since motorcycles transport being authorized to carry passengers in the Tanzania it has been associated with many accidents resulting to large number of deaths and injuries in the country.Most of the Road Traffic Injuries victims are passengers,motorcyclists and pedestrians.Males are over represented in all causes.Most of the deceased were 18-29 years old.The major social-economic benefit of this study was to found out the main causes and measures of reducing the number of accidents associated with motorcycle transport service in both urban and rural areas.展开更多
Introduction: Children involved in road accidents most often suffer head or limb injuries. The severity of these injuries varies according to the age of the child, the type of road user and whether or not protective d...Introduction: Children involved in road accidents most often suffer head or limb injuries. The severity of these injuries varies according to the age of the child, the type of road user and whether or not protective devices are used. The aim of this study was to carry out a census of admissions and to identify the epidemiological and clinical profile of children involved in road traffic accidents at Donka National Hospital. Methods: This is a descriptive cross-sectional study of children involved in traffic accidents over a 3-month period from September 1 to November 30, 2021. All children admitted to the emergency department for a traffic accident were included in the study. Results: During the study period, 435/530 children (82.1%) were victims of road accidents. Boys accounted for 54.94% of cases, compared with 45.06% for girls. The age group most affected was 12-17 years old (48.97%). October had the highest accident rate (36.4%). Pedestrians are most affected (52.87%). Bicycles and mopeds were involved in 59.77% of accidents. Head injury was the most frequent pathology (33.33%). The study showed that 12.64% of victims were referred to intensive care, pediatric surgery, etc. We recorded 8 cases of death (1.84%). Conclusion: This study highlighted the characteristics, incidence and risk factors for accidents in children admitted to emergency departments. Accident prevention, particularly serious accidents in children, requires more precise knowledge of the factors and circumstances leading to their occurrence.展开更多
Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles,people, transportation infrastructure, and networks, thereby realizing amore intelligent and efficient transp...Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles,people, transportation infrastructure, and networks, thereby realizing amore intelligent and efficient transportationsystem. The movement of vehicles and the three-dimensional (3D) nature of the road network cause the topologicalstructure of IoV to have the high space and time complexity.Network modeling and structure recognition for 3Droads can benefit the description of topological changes for IoV. This paper proposes a 3Dgeneral roadmodel basedon discrete points of roads obtained from GIS. First, the constraints imposed by 3D roads on moving vehicles areanalyzed. Then the effects of road curvature radius (Ra), longitudinal slope (Slo), and length (Len) on speed andacceleration are studied. Finally, a general 3D road network model based on road section features is established.This paper also presents intersection and road section recognition methods based on the structural features ofthe 3D road network model and the road features. Real GIS data from a specific region of Beijing is adopted tocreate the simulation scenario, and the simulation results validate the general 3D road network model and therecognitionmethod. Therefore, thiswork makes contributions to the field of intelligent transportation by providinga comprehensive approach tomodeling the 3Droad network and its topological changes in achieving efficient trafficflowand improved road safety.展开更多
Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada...Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at intersections. We believe this fairly simple solution will save lives, prevent injuries, reduce damage to public and private property, and decrease insurance costs.展开更多
Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation's economic development.In the whole life cycle of the road,the emerge...Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation's economic development.In the whole life cycle of the road,the emergence of disease is unavoidable,so it is necessary to adopt relevant technical means to deal with the disease.This study comprehensively reviews the advancements in computer vision,artificial intelligence,and mobile robotics in the road domain and examines their progress and applications in road detection,diagnosis,and treatment,especially asphalt roads.Specifically,it analyzes the research progress in detecting and diagnosing surface and internal road distress and related techniques and algorithms are compared.In addition,also introduces various road gover-nance technologies,including automated repairs,intelligent construction,and path planning for crack sealing.Despite their proven effectiveness in detecting road distress,analyzing diagnoses,and planning maintenance,these technologies still confront challenges in data collection,parameter optimization,model portability,system accuracy,robustness,and real-time performance.Consequently,the integration of multidisciplinary technologies is imperative to enable the development of an integrated approach that includes road detection,diagnosis,and treatment.This paper addresses the challenges of precise defect detection,condition assessment,and unmanned construction.At the same time,the efficiency of labor liberation and road maintenance is achieved,and the automation level of the road engineering industry is improved.展开更多
文摘Introduction: Motorcyclists bear a disproportionate burden of morbidity and mortality from road accidents. In addition, the consequences of these accidents affect the ability of victims to return to work. This study aimed to determine the prevalence and factors associated with non-return to work among surviving motorcyclists involved in road accidents 12 months after the event. Materials and Methods: It was a cross-sectional study conducted using data from a cohort of motorcyclists involved in accidents and recruited in five hospitals in Benin from July 2019 to January 2020. The dependent variable was non-return to work 12 months after the accident (yes vs no). The independent variables were categorized into two groups: baseline and 12-month follow-up variables. Logistic regression was used to determine the factors associated with non-return to work at 12 months among the participants. Results: Among the 362 participants, 55 (15.19%, 95% CI = 11.84 - 19.29) had not returned to work 12 months after the accident. Risk factors for non-return to work identified were: smoking (aOR = 4.41, 95% CI = 1.44 - 13.56, p = 0.010), hospitalization (aOR = 2.87, 95% CI = 1.14 - 7.24, p Conclusion: The prevalence of non-return to work at 12 months was high among surviving motorcyclists involved in road accidents in Benin. Integrated support for patients based on identified risk factors should effectively improve their return to work.
文摘Introduction: Otorhinolaryngological (ORL) and cervicofacial traumas encompass injuries affecting the neck, face, and ORL region, resulting from external influence. The objective of this study was to conduct an epidemiological and clinical analysis of ORL and cervicofacial injuries observed in victims of road accidents treated at the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. Materials and Methods: This prospective and descriptive study was conducted over a period of 12 months, from January 1st to December 31st, 2021, within the Otorhinolaryngology (ORL) department of the Regional Hospital of Mamou. It included patients hospitalized for ORL and/or cervicofacial traumas resulting from road accidents during the study period. Results: A total of 348 cases were included, representing 36.22% of all traumas related to road accidents (AVP) within the Regional Hospital of Mamou. The average age of the patients was 26.44 years, with a sex ratio of 3.83, favoring males. The dominant socio-professional category was students, encompassing 32.47% of cases. Road accidents were mainly associated with motorcycle use (31.32% motorcycle-to-motorcycle, 24.43% motorcycle skidding, 13.51% motorcycle-pedestrian). Facial region injuries were the most common, accounting for 69.03% of cases, followed by rhinological injuries (17.28%) and otological injuries (13.69%). Associated injuries were predominantly closed head traumas (52.55%) and lower limb fractures (20.41%). Imaging was underutilized. Regarding surgical interventions, reconstructive surgery was the most predominant, accounting for 52.51% of cases, with a management timeframe of 30 minutes to 12 hours for 99.72% of patients. Conclusion: Road traffic accidents remain a serious public health issue, primarily affecting young males. Emphasis should be placed on road safety measures to reduce the frequency of these accidents.
文摘This paper studied the spatial accessibility of emergency facilities to road accident victims in Federal Capital City to determine the sufficiency of existing emergency health care facilities and rescue facilities in servicing accident victims. This is useful for developing means of saving the lives of accident victims in the Federal Fapital City (FCC). The data used comprised of Nigerian Sat II 2013 multispectral imagery (5 m multispectral and 2.5 m Panchromatic) of FCC obtained from the National Space Research and Development Agency (NARSDA), coordinates of seventy (70) accident black spots, five (5) zebra points and sixteen (16) emergency health care facilities obtained from Federal Road Safety Commission (FRSC). ArcGIS 10.0 software was used to display, visualize, identify and extract features from the imagery, and create maps from different layers of the spatial data, choose colors and symbols, create buffer zones, analyze spatial relationships, and design map layouts. Purposeful sampling method was adopted to administer 99 questionnaires to accident victims in the hospitals within the FCC. The spatial data were used to determine the time of rescue, type of rescue and coverage time of rescue operation. The statistical data were used to assess the spatio-temporal distribution of accidents and determine the level of response by the rescue teams. The results show that accident victims have adequate access to health facilities but inadequate access to zebra points, and passers-by have more effective accident response than the government action agencies. Specific points for the creation of additional zebra points were identified through buffering, and the creation of sustainable Good Samaritan programs and training for community persons in first aid were suggested. Meanwhile, further research to determine the impact of time of rescue, type of rescue and category of hospital on the accident victims was suggested.
文摘This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>
文摘This study assessed critical factors for road traffic accidents and associated mitigation to reduce the accidents by the year 2030. The study was guided by research questions, what are the major causatives of road accidents and how to mitigate the problem. The study used secondary data collected from the repository database of traffic police at the division of Tanzania Road Safety Squad. Data were collected at the events of accident occur</span><span style="font-family:Verdana;">re</span><span style="font-family:Verdana;">nces and reported annually by regions. Panel data analysis was used to allow for controlling variables which cannot be observed over time and across areas such as regions. Pooled Poisson model, fixed effect and random effect Poisson model was applied to assess factors for road traffic accidents. Fixed effect model was the best model with a reasonably good fit. Results indicated that all predictors are significant under fixed effect Poisson model with </span><span style="font-family:Verdana;">a </span><span style="font-family:""><span style="font-family:Verdana;">p-value less than 0.05 but Passengers and Railway crossing road was found insignificant and dropped in the final model. Laws and regulatory frameworks should be formulated and enforced promptly for Tanzania may reach the target of 2</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> decade of action for roads safety 2021-2030.
文摘The authors reported a case of trauma with uterus rupture at 35 weeks gestation with fetal death in uterus with a trauma of the right</span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">limb injuries during a serious road accident. </span><b><span style="font-family:Verdana;">Aim:</span></b><span style="font-family:Verdana;"> the aim is to show the increasing of road accident with the motorized tricycle and their many risks for pregnant woman. </span><b><span style="font-family:Verdana;">Case Presentation:</span></b><span style="font-family:Verdana;"> our patient was thrown from the back cargo of a motorized tricycle (three-wheeled vehicle) after a collision with a truck in a rural area from 150 km to Bobo-Dioulasso. She sustained a closed abdominal injury and a severe right lower limb open injury. At admission in our depart</span><span style="font-family:Verdana;">ment in the Teaching Hospital, she was conscious, shocked with hemodyn</span><span style="font-family:Verdana;">amic instability, including low blood pressure (75/52 mmHg), rapid heart rate (140 pulses per minute), rapid breath rate (40 per minute), and cold extremities. Abdominal examination was painful with uterine hypertonia, 28 cm height uterus, and no fetal heart heartbeat. A laparotomy in</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">urgency revealed a rupture of the uterus fundus with a dead fetus. A conservative surgical treatment was performed. An open trauma to the right limb was managed by the orthopedists with a good outcome. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Accident trauma during pregnancy is becoming more and more frequent with the increase in means of transport in urban and inter urban areas. The transport ways of the pregnant woman must take into account her safety and that of the fetus.
文摘This paper highlights the typology of road accidents related to the default of signing for many accidents have occurred due to imperfect signposting along roads in Cameroon. The Yaoundé-Douala highway has been chosen for this study. Available Field data recorded during the years 2007, 2009 and 2011, have enabled the analysis of each accident. It appears that amongst the 569 accidents recorded along a section of 114 km, 108 cases (about 20%) result from the default or lack of signing. From a clinical analysis, four scenarios of accidents that occurred by collision were found on one hand, and on the other hand, seven were elaborated based on factors such as: no signposting at crossroads, the lack of vertical and/or horizontal alignmentor slightly raised bump and the deficiency of signpost for normal parking layouts or no parking at certain critical points.
文摘In recent years, road accident fatalities in Nigeria have continued to be on the increase. Thus, urgent attention is needed to reduce or eliminate road accidents fatalities. To achieve this goal, the cumulative sum (Cusum) control chart scheme was designed for monitoring the road accident fatalities using the recorded occurrence of road accident fatalities in a state in the western part of Nigeria. The designed Cusum detects the period of the years when the highest occurrence of road accident fatalities occurred. These periods were observed to be festive periods such as Christmas, Easter, Eid-el- Kabir, and Eid-el-Moluod. Therefore, the festive periods of the year should be used as benchmark by road managers as periods where more attention or precaution measure should be put in place on the roads to drastically reduce or eliminate high occurrence of road accident fatalities. The designed Cusum control chart can be adapted for other states in the country and also for the larger society for detecting the periods when the rate of death as a result of road accidents was prevalent.
文摘In order to improve the forecasting precision of road accidents, by introducing Markov chains forecasting method, a grey-Markov model for forecasting road accidents is established based on grey forecasting method. The model combines the advantages of both grey forecasting method and Markov chains forecasting method, overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. An application example is conducted to evaluate the grey-Markov model, which shows that the precision of the grey-Markov model is better than that of grey model in forecasting road accidents.
文摘Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in terms of health, property damage and other economic factors. Sometimes, it is found that road accident occurrences are more frequent at certain specific locations. The analysis of these locations can help in identifying certain road accident features that make a road accident to occur frequently in these locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. In this paper, we first applied k-means algorithm to group the accident locations into three categories, high-frequency,moderate-frequency and low-frequency accident locations.k-means algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these locations. The rules revealed different factors associated with road accidents at different locations with varying accident frequencies. Theassociation rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of accidents. High-frequency accident locations mostly involved two-wheeler accidents at hilly regions. In moderate-frequency accident locations, colonies near local roads and intersection on highway roads are found dangerous for pedestrian hit accidents. Low-frequency accident locations are scattered throughout the district and the most of the accidents at these locations were not critical. Although the data set was limited to some selected attributes, our approach extracted some useful hidden information from the data which can be utilized to take some preventive efforts in these locations.
文摘Introduction: Precise spatial location of accidents is relevant for accidentology researches or road safety investigations. Objective: The aim of this study is to investigate a number of factors associated with the geolocation of road accidents in the city of Cotonou in 2019. Methods: It was a cross-sectional, retrospective study with an analytical focus. Results: This study highlighted a prevalence of coordinates of the GPS reported at 41.63% in 2019 relating to the files of accidents on public roads during the period from April 18 to June 12, 2020. The work was carried out from 384 accident files examined in the 6 districts of Cotonou selected randomly. A logistic regression made it possible to sort out associated factors with using GPS in road accidents. The final model retained through the “ascending step by step” modeling was adopted. The average age of the responsible agents in charge of the observation was around 32 years (32.13 ± 3.17). Geolocation identified associated factors were: the level of instruction with odd Ratio 2 and its 95% confidence interval f [1.02 - 2.40], the means of conveyance odd ratio 2.56 and its 95% confidence interval of [1.21 - 5.41], the severity level of the accident with its odd ratio 4.59 and its 95% confidence interval of [2.82 - 8.32], and the type of day on which the accident occurred with odd ratio 0.56 and its 95% confidence interval f [0.437 - 2.553]. As for the quality of the reported GPS coordinates, 85% of them were good quality. Conclusion: The reduction of road accidents, given its serious nature and extent, requires strategies to promote geolocation of accidents to ensure better identification of risk areas and decision-making adapted to the accident phenomenon.
文摘Introduction: Road traffic put people at risks and needs health education to avoid accidents and deaths. This article aimed to build up a typology of public road accidents (public road accidents) and risk factors associated with in the provincial city of Kinshasa and its peripheral cities (Kasangulu and Mongata), to identify the profiles of the vehicles and people involved in these public road accidents. Method: We conducted a prospective eco-analytical study on a stratified random sample whose size was determined by the Fischer formula. Results: Overall, from March to May 2017, we witnessed an incidence of public road accidents cases ranging from 139 public road accidents cases in the city province of Kinshasa and its two peripheral areas: road axes of high concentration: Rte Blvd Lumumba-Airport;Rte Poids Lourd-Pont Matete, the axes of medium concentration: Rte N21-IMBU, Rte Blvd 30 juin-socimat;Rte Matadi-Kasangulu toll;Rte Université-Intendance, Rte By Pass-triangle Maman Mobutu-Kintambo (Rte-Matadi)-Toll/lère virage-Triangle Maman Mobutu and those of low concentration were: Rte du tourisme/Mimoza-Mbudi;Rte Matadi-Terrain Siwabanza. Conclusion: In these areas, public road accidents are a real public health problem that deserves sustained attention from all and especially from decision makers. Interventions must concern the HVE accident complex.
文摘Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such as the frequent loss of lives and valuables when accident occurs. The best course of action to handle these issues is to set up an autonomous incident detection system using wireless communication, 5G technologies and the Internet of Things. IoT is a seamless technology that increases the connectivity between humans and machines. It is web-based, and improves communication between vehicle to vehicle, vehicle to infrastructures, transfer of data and information to predict incident occurrences through various networks and frameworks such as eCall, OneM2M and integration of mobile broadband. Additionally, internet of things is being adopted for public safety;for instance, it can speed up first responders’ response times to situations by displaying the best routes to a scene of an accident. The rapid development of 5G is happening in parallel with developments of internet of things (IoT), artificial intelligence (AI), and smart platforms for novel applications such as mission-critical communications. 5G is a new generation technology that operates on the Ultra High Spectrum Band UHSB. It is an innovation that uses the pedestrians-vehicle-road-cloud, and the communication between vehicle locations and temperature of high-quality connection. It is essential for intelligent transport systems because it allows for information sharing, prediction of incidences as safety is the primary concern of road transport. This review examines accident detection through 5G technology, integrated mobile broadband, and multiple inputs multiple outputs (MIMO) wireless system. Finally, we conclude by examining recent technology, challenges, present and future research trends.
文摘Motorcycles transport commonly known as(Boda boda)in Tanzania has been growing up in the recently years in both urban and rural areas.Since motorcycles transport being authorized to carry passengers in the Tanzania it has been associated with many accidents resulting to large number of deaths and injuries in the country.Most of the Road Traffic Injuries victims are passengers,motorcyclists and pedestrians.Males are over represented in all causes.Most of the deceased were 18-29 years old.The major social-economic benefit of this study was to found out the main causes and measures of reducing the number of accidents associated with motorcycle transport service in both urban and rural areas.
文摘Introduction: Children involved in road accidents most often suffer head or limb injuries. The severity of these injuries varies according to the age of the child, the type of road user and whether or not protective devices are used. The aim of this study was to carry out a census of admissions and to identify the epidemiological and clinical profile of children involved in road traffic accidents at Donka National Hospital. Methods: This is a descriptive cross-sectional study of children involved in traffic accidents over a 3-month period from September 1 to November 30, 2021. All children admitted to the emergency department for a traffic accident were included in the study. Results: During the study period, 435/530 children (82.1%) were victims of road accidents. Boys accounted for 54.94% of cases, compared with 45.06% for girls. The age group most affected was 12-17 years old (48.97%). October had the highest accident rate (36.4%). Pedestrians are most affected (52.87%). Bicycles and mopeds were involved in 59.77% of accidents. Head injury was the most frequent pathology (33.33%). The study showed that 12.64% of victims were referred to intensive care, pediatric surgery, etc. We recorded 8 cases of death (1.84%). Conclusion: This study highlighted the characteristics, incidence and risk factors for accidents in children admitted to emergency departments. Accident prevention, particularly serious accidents in children, requires more precise knowledge of the factors and circumstances leading to their occurrence.
基金the National Natural Science Foundation of China(Nos.62272063,62072056 and 61902041)the Natural Science Foundation of Hunan Province(Nos.2022JJ30617 and 2020JJ2029)+4 种基金Open Research Fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology,Nanjing University of Posts and Telecommunications(No.JZNY202102)the Traffic Science and Technology Project of Hunan Province,China(No.202042)Hunan Provincial Key Research and Development Program(No.2022GK2019)this work was funded by the Researchers Supporting Project Number(RSPD2023R681)King Saud University,Riyadh,Saudi Arabia.
文摘Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles,people, transportation infrastructure, and networks, thereby realizing amore intelligent and efficient transportationsystem. The movement of vehicles and the three-dimensional (3D) nature of the road network cause the topologicalstructure of IoV to have the high space and time complexity.Network modeling and structure recognition for 3Droads can benefit the description of topological changes for IoV. This paper proposes a 3Dgeneral roadmodel basedon discrete points of roads obtained from GIS. First, the constraints imposed by 3D roads on moving vehicles areanalyzed. Then the effects of road curvature radius (Ra), longitudinal slope (Slo), and length (Len) on speed andacceleration are studied. Finally, a general 3D road network model based on road section features is established.This paper also presents intersection and road section recognition methods based on the structural features ofthe 3D road network model and the road features. Real GIS data from a specific region of Beijing is adopted tocreate the simulation scenario, and the simulation results validate the general 3D road network model and therecognitionmethod. Therefore, thiswork makes contributions to the field of intelligent transportation by providinga comprehensive approach tomodeling the 3Droad network and its topological changes in achieving efficient trafficflowand improved road safety.
文摘Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at intersections. We believe this fairly simple solution will save lives, prevent injuries, reduce damage to public and private property, and decrease insurance costs.
基金supported by the National Key Research and Development Program of China (No.2021YFB2601000)National Natural Science Foundation of China (Nos.52078049,52378431)+2 种基金Fundamental Research Funds for the Central Universities,CHD (Nos.300102210302,300102210118)the 111 Proj-ect of Sustainable Transportation for Urban Agglomeration in Western China (No.B20035)Natural Science Foundation of Shaanxi Province of China (No.S2022-JM-193).
文摘Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation's economic development.In the whole life cycle of the road,the emergence of disease is unavoidable,so it is necessary to adopt relevant technical means to deal with the disease.This study comprehensively reviews the advancements in computer vision,artificial intelligence,and mobile robotics in the road domain and examines their progress and applications in road detection,diagnosis,and treatment,especially asphalt roads.Specifically,it analyzes the research progress in detecting and diagnosing surface and internal road distress and related techniques and algorithms are compared.In addition,also introduces various road gover-nance technologies,including automated repairs,intelligent construction,and path planning for crack sealing.Despite their proven effectiveness in detecting road distress,analyzing diagnoses,and planning maintenance,these technologies still confront challenges in data collection,parameter optimization,model portability,system accuracy,robustness,and real-time performance.Consequently,the integration of multidisciplinary technologies is imperative to enable the development of an integrated approach that includes road detection,diagnosis,and treatment.This paper addresses the challenges of precise defect detection,condition assessment,and unmanned construction.At the same time,the efficiency of labor liberation and road maintenance is achieved,and the automation level of the road engineering industry is improved.
