摘要
冰雪天气极大困扰寒冷地区高速公路的冬季通行,对公路交通安全造成严重影响.分析道面冰雪检测与预测的方法,基于公路分层的热传导原理提出冰雪生成模型.通过采集公路物理属性数据(经纬度、公路导热性等)和气象数据(大气温度,降雪量,露点温度等),模型滚动更新,自动完成公路冰雪状况的检测与预警,预测时长达3-6 h,为交通管制、除冰机械调配及作业范围提供技术支持.以新疆赛果高速为案例,布设气象检测与预警系统,与安全性评价报告(两年前发布)的预测结果进行对比,交通事故发生数量低于预测值,死亡人数远低于预测值.
Ice and snow impose harmful effects on freeway traffic in cold regions,which significantly affects road traffic safety.This paper introduces the ice and snow detecting and warning method.An ice and snow formation model is established based on the hierarchical highway thermal conductivity theory.The study collects the road physical attributions（such as longitude,latitude,thermal conductivity,etc.） and meteorological data（including air temperature,precipitation,dew temperature,etc）.The automatically running modal is developed,which forecasts road surface state by three or six hours in ahead.It supports the traffic regulation,de-icing machinery redeployment and the delimiting of working area.The Sai-guo highway of Xinjiang Province of China is taken as an example.The results indicate that the number of traffic accidents is lower than the predicted value from traffic safety evaluation report issued two years ago.The number of death is also much lower than the prediction value.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2013年第3期178-182,188,共6页
Journal of Transportation Systems Engineering and Information Technology
基金
国家公路交通安全科技行动计划(国科发高[2008]120号)
关键词
公路运输
冰雪检测
冰雪预警
生成模型
高速公路安全
highway transportation
ice detection
ice warning
generation model
highway safety
