摘要
为解决目前交通冲突数据采集方法精度不高以及未考虑冲突后果严重性的问题,选择典型边施工边通车的四改八车道高速公路施工区(路基阶段)为研究对象,使用高空无人机拍摄高精度区域过境通行车辆运行视频,通过视频识别和冲突识别程序得到连续冲突车辆微观数据;基于车辆碰撞理论推导交通冲突后果严重性模型,利用冲突严重率指标对施工区进行交通安全评价。结果显示:交通量和大型货车率对冲突严重率有非常显著的影响;交通量小于700 pcu/h时,冲突严重率较低;当交通量超过900 pcu/h后,冲突严重率随交通量快速增高;大型货车率越高,冲突严重率越高;通过交通组织分流交通量和大型货车,能提高施工区交通安全性。
In order to solve the problem that the accuracy of current traffic conflict data collection method is not high and the outcome severity of traffic conflict is not considered,the typical highway workzone(subgrade stage)was selected as the research object,high-precision regional vehicle operation videos were captured by high-altitude unmanned aerial vehicle,and continuous vehicle microdata were obtained through video and conflict recognition program.Based on the theory and process of vehicle collision,the outcome severity of traffic conflict model was derived and the index of traffic conflict severity rates was used to assess traffic safety.The results show that traffic volume and large truck rate have a significant impact on the traffic conflict severity,that when the traffic volume is less than 700 pcu/h,the conflict severity is low,that when the traffic volume exceeds 900 pcu/h,the conflict severity increases rapidly,that the higher the large truck rate is,the higher the conflict severity will be,and that the traffic safety in highway workzone can be improved by diverting traffic volume and large trucks through traffic organizations.
作者
蒋若曦
朱顺应
王磊
汪攀
王红
匡诗平
JIANG Ruoxi;ZHU Shunying;WANG Lei;WANG Pan;WANG Hong;KUANG Shiping(School of Transportation,Wuhan University of Technology,Wuhan Hubei 430063,China;Shandong Provincial Communication Planning and Design Institute,Ji'nan Shandong 250031,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2019年第6期116-121,共6页
China Safety Science Journal
基金
国家自然科学基金资助(71771183)
关键词
交通冲突
高速公路施工区
冲突后果严重性
车辆碰撞理论
无人机
traffic conflict
highway workzone
outcome severity of traffic conflict
vehicle collision theory
unmanned aerial vehicle
