摘要
针对已有的车联网环境下公交优先算法,改进交叉口总乘客延误PI,提出考虑下游站点等待人数的公交优先控制算法。首先定义下游站点等待人数与BRT发车间隔的关系:等待人数多于均值则BRT与上一班BRT的运行间隔已超出合理发车间隔l,需提高优先权重;其次,回溯车联网环境下公交优先算法,提出将等待人数多于均值x的情况量化并加入ΔPI的计算中提高BRT优先权重;最后对北京市BRT4号线进行实证分析,验证考虑下游站点等待人数后,执行优先的概率较之前提升了47.06%,BRT运行时间最大降低了7.12%。
According to the bus priority algorithm proposed in the previous research under the environment of IOV(inetrnet of vehicles),the total passenger delay at the intersection was improved and the bus priority control algorithm considering the number of waiting people at downstream stations was proposed.Firstly,the relationship between the waiting number of downstream stations and the departure interval of BRT was defined.If the waiting number is more than the mean value,which means that the operation interval between BRT and the previous BRT would exceed the reasonable departure interval,the priority weight should be increased.Secondly,the bus priority algorithm in the IOV environment was reviewed.Then,it was proposed to quantify the situation that the waiting number was more than the mean value and add it into the calculation to improve the priority weight of BRT.Finally,the empirical analysis of Beijing BRT4 line was carried.It is verified that after considering the number of people waiting at downstream stations,the possibility of implementing bus priority is increased by 47.06%at most,and the BRT running time is decreased by 7.12%at most.
作者
蒋瑶
李泓辰
赵智
JIANG Yao;LI Hongchen;ZHAO Zhi(MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)
出处
《交通科技》
2021年第4期130-134,共5页
Transportation Science & Technology
基金
国家重点研发计划项目(2018YFB1600703)
国家自然科学基金项目(61973028)
“车联网”教育部-中国移动联合实验室开放基金项目(ICV-KF2019-01)
国家级北京交通大学校级大学生创新创业训练计划支持项目(200150006)资助。
关键词
车联网
车路协同
自适应
公交优先
下游站点等待人数
VISSIM
internet of vehicles
vehicle-road coordination
self-adaptation
buspriority
number of people waiting at downstream stations
VISSIM
