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未按规定导向车道行驶行为干预方法研究 被引量:4

Intervention methods of driving in the inaccurate oriented lane
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摘要 为保障信号交叉口的正常交通秩序,充分遏制机动车未按规定导向车道行驶行为,亟需探究该行为的影响因素及干预方法。以北京市内4个信号交叉口处共35 h的1 666条监控视频数据为基础,对未按规定导向车道行驶行为进行定义并将其分为9类,分别对频率较高的5类未按规定导向车道行驶行为构建二元Logit模型,以确定其关键影响因素,并据此提出干预方法。结果表明,排队车辆数、大车比例、时段、车流量、照明条件等因素会不同程度地影响5类未按规定导向车道行驶行为的发生概率,其中排队车辆数及时间因素影响最为显著。在此基础上,从交通工程设施及驾驶人安全意识角度,提出优化交叉口渠化设计及信号配时、采用智能标线、强化监管力度及完善交通管控设施、加强驾驶人安全教育4种未按规定导向车道行驶行为干预方法。 The paper aims at presenting some intervention methods to deal with driving in the inaccurate oriented lane by playing back the video-1666 vehicle travelling records. The data can be extracted from a record of 35 hours’ traffic surveillance video of the 4 signalized intersections in Beijing,based on which,the behavior of driving in the inaccurate oriented lane can be defined and divided into 9 categories. Among them,5 high frequency categories were put forward,including the left-turn and right-turn driving in the straight lane,the right-turn and straight driving in the non-motorized vehicle lane,and the straight driving in the left-turn lane. In the given paper,we have also developed a binary Logit model for the above mentioned 5 high frequency behaviors. Furthermore,we have suggested and well-prepared the corresponding intervention and prevention measures. The results show that,driving in the inaccurate oriented lane can be variously affected by the following factors,such as,the number of vehicles in a queue,the great number of heavy transportation vehicles,the time period and the traffic flow,the lighting conditions and others. And,particularly speaking,the number of vehicles in waiting line and time period are the most significant. In answering to the above influential factors in terms of the traffic control rules and the vehicular facilities,as well as the drivers’ own safety awareness,the paper has proposed the following 4 intervention proposals,saying,the optimized channelization layout and the precise signal-indicating alteration at the signal-indicating alternating spots,which can help to reduce and even eliminate the impact of a great number of queued vehicles. Intelligent layout of the proper markings can also help greatly to adjust the direction of the guiding lanes as to the regard of the traffic flow during different travelling hours of a day. Besides,it is also possible to reduce the traffic violation liabilities,for example,by regulating the lighting conditions,setting necessary artificial sens
作者 付川云 刘华 王陶钰 FU Chuan-yun;LIU Hua;WANG Tao-yu(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong,University,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China)
出处 《安全与环境学报》 CAS CSCD 北大核心 2019年第3期874-880,共7页 Journal of Safety and Environment
基金 国家自然科学基金项目(71801182) 中国博士后科学基金项目(2017T100710,2016M600748) 四川省科技计划项目(2017ZR0209)
关键词 安全工程 道路交通安全 未按规定导向车道行驶行为 二元Logit模型 交通违法 干预方法 智能标线 safety engineering road traffic safety driving in the inaccurate oriented lane binary Logit model traffic violation intervention measure intelligent marking
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