摘要
为安全有效地疏散突发事件造成的高速公路网拥堵,评估不同应急疏导措施的效用,首先,分析突发事件下高速公路网拥堵传播消散规律,基于提出的高速公路节点容纳能力(HNAC),结合基本图(FD)模型,建立HNAC-FD消散计算模型;然后,根据疏散案例交通流数据,使用Vissim软件搭建仿真模型,仿真分析不同疏导措施对疏散交通流速度的影响,并利用Logistic速密模型计算路网各个区段的交通流状态;最后,根据高速公路网突发事件案例,设计不同疏导措施方案,并通过HNAC-FD模型计算拥堵消散时间,从事件影响消散时间和拥堵队列车辆平均行程时间,评估不同疏导方案的效用。结果表明:疏导措施会延迟事件影响消散,但能提升疏散交通流的速度,减少拥堵队列的车辆平均行程时间,且组合方案的疏散效果与单一措施差别不显著;可逆车道具有最佳疏散效果。
This paper aimed to safely and effectively evacuate the expressway network congestion caused by emergency events and to evaluate the effectiveness of different emergency evacuation measures.Firstly,the propagation and dissipation law of expressway network congestion under emergency events were analysed,and the HNAC-FD dissipation calculation model was established.Secondly,through evacuation case traffic data,the effect of different interventions on the speed of traffic flow was simulated by Vissim,and the traffic flow state of the expressway network section was obtained based on the Logistic speed-density model.Finally,according to the case of expressway network emergencies,different intervention measures were designed,and the congestion dissipation time was calculated by the HNAC-FD model.The effectiveness of different measures was evaluated from the event impact dissipation time and the average travel time of the vehicles in the congested queue through case numerical calculations.The results show that the intervention measures delay the dissipation of the event impact,but improve the speed of evacuating traffic flow and reduce the average travel time of the congested queue.The evacuation effect of the combined measures is not significantly better than that of the single one,and the reversible lane evacuation works best.
作者
刘星良
谢厅
刘唐志
尚婷
王建
LIU Xingliang;XIE Ting;LIU Tangzhi;SHANG Ting;WANG Jian(School of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China;School of Transportation,Southeast University,Nanjing Jiangsu 211189,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2023年第7期222-229,共8页
China Safety Science Journal
基金
国家重点研发计划项目(2021YFB1600100)
重庆市自然科学基金面上项目资助(CSTB2022NSCQ-MSX0519)
重庆市高校创新研究群体项目(CXQT21022)。