Analysis of Urban Traffic Jam Formation Based on Extended Cell Transmission Model

被引:0
作者
Qi, Liang [1 ]
Zhou, MengChu [2 ]
机构
[1] Tongji Univ, Dept Comput Sci & Technol, Shanghai, Peoples R China
[2] New Jersey Inst Technol, Dept Elect & Comput Eng, Newark, NJ 07102 USA
来源
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2018年
基金
中国国家自然科学基金;
关键词
traffic incident; traffic jam formation; traffic simulation; intelligent transportation systems; FLOW; BEHAVIOR; INCIDENT; WAVES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work proposes an extended cell transmission model to describe traffic flow in urban networks. In the model, the paths of vehicles travelling toward a road link are depicted for the first time. Based on the model, a simulation approach is used to analyze the traffic jam formation caused by an incident under a scenario that travelers are informed of such an incident from advanced traveler information systems and some of them conduct a detour prior to entering the incident-induced congested roads. Simulation results reveal the influences of some major parameters on an incident-induced congestion formation. These parameters are the ratio of vehicles conducting a detour over the total ones and the amount of traffic flow driving to the blocked link in the traffic network. The results can be used to estimate the traffic jam size and traffic delay caused by traffic incidents.
引用
收藏
页数:6
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