A Two-level Traffic Light Control Strategy for Preventing Incident-Based Urban Traffic Congestion

被引:83
作者
Qi, Liang [1 ]
Zhou, MengChu [2 ,3 ]
Luan, WenJing [1 ]
机构
[1] Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China
[2] Tongji Univ, Minist Educ, Key Lab Embedded Syst & Serv Comp, Shanghai 201804, Peoples R China
[3] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
基金
中国国家自然科学基金;
关键词
Timed Petri net (TPN); discrete event system; cell transmission model (CTM); traffic light control; emergency strategy; congestion formation and dissipation; traffic incident; CELL TRANSMISSION MODEL; STOCHASTIC PETRI-NET; CONTROL-SYSTEMS; SIGNAL CONTROL; REAL-TIME; INTERSECTIONS; SCENARIOS; NETWORKS; HIGHWAY; FREEWAY;
D O I
10.1109/TITS.2016.2625324
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This work designs a two-level strategy at signalized intersections for preventing incident-based urban traffic congestion by adopting additional traffic warning lights. The first-level one is a ban signal strategy that is used to stop the traffic flow driving toward some directions, and the second-level one is a warning signal strategy that gives traffic flow a recommendation of not driving to some directions. As a visual and mathematical formalism for modeling discrete-event dynamic systems, timed Petri nets are utilized to describe the cooperation between traffic lights and warning lights, and then verify their correctness. A two-way rectangular grid network is modeled via a cell transmission model. The effectiveness of the proposed two-level strategy is evaluated through simulations in the grid network. The results reveal the influences of some major parameters, such as the route-changing rates of vehicles, operation time interval of the proposed strategy, and traffic density of the traffic network on a congestion dissipation process. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
引用
收藏
页码:13 / 24
页数:12
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