摘要
雾天环境下驾驶员会表现出和正常天气不同的驾驶行为,给行车安全带来威胁.为保证交通安全,交通管理部门在浓雾环境下关闭高速公路,给人们出行带来不便.分析浓雾环境下基于传统目视和基于车车通信的驾驶行为,建立了交通流元胞自动机模型.模拟结果表明:车车通信能够有效减少车辆分布的'局部聚集效应',从而大大降低交通事故率;当车辆密度较小时,交通事故率的降低效应尤其明显.本文的研究为高速公路在浓雾环境下采用车车通信技术实现车辆连续放行提供参考.
With fog environment,drivers present different driving behaviors compared with normal weather,which may bring security threats to drivers. To ensure traffic security,traffic management department will close highway when heavy fog occurs,which makes people inconvenient. The traditional visual based and vehicle-to-vehicle communication based driving-behavior modes are analyzed firstly. Based on the driving-behavior modes,the traffic flow cellular automaton models are proposed. Simulation results show that vehicle- to- vehicle communication technology can decrease the local compact effect,which can decrease the traffic accident probability effectively. The traffic accident probability with vehicle- to- vehicle communication decreases much in low density. The research results can provide reference to the continue release of highway when heavy fog occurs if the vehicle-to-vehicle communication technology is used.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2016年第4期109-116,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家科技支撑计划(2014BAG01B02
2014BAG01B03)
国家自然科学基金(61401397)
湖北省自然科学基金(2013CFA054
2014CFB287)
浙江省自然科学基金(LY14F020020)
湖北省教育厅科学技术研究计划重点项目(D20141804)
汽车动力传动与电子控制湖北省重点实验室开放基金(ZDK1201406)~~
关键词
公路运输
交通流
元胞自动机模型
交通事故
浓雾
highway transportation
traffic flow
cellular automaton model
traffic accident
heavy fog