Improving Traffic Lights System Management by Translating Decisions of Traffic Officer

被引:0
作者
Vaudrin, Francois [1 ]
Capus, Laurence [1 ]
机构
[1] Univ Laval Quebec, Fac Sci & Engn, Dept Comp Sci & Software Engn, Pavillon Adrien Pouliot,1065 Ave Med, Quebec City, PQ G1V 0A6, Canada
来源
SIMULATING URBAN TRAFFIC SCENARIOS | 2019年
关键词
Microscopic traffic simulation; Open source; SUMO; Traffic lights; Traffic management; Traffic research; Artificial intelligence;
D O I
10.1007/978-3-319-33616-9_9
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Coordination of traffic signal timing systems has significant impacts on traffic congestion, waiting time, risks of accidents, and unnecessary fuel consumption. Actually, systems of traffic light's programming involve complex calculations especially to tackle problematic situations in real time. Another way of doing is to manage traffic flow by traffic officers. Despite the limitation of short-term retention of human brain to few elements, human being can make decisions in case of system malfunction or during special events. The human strategy as that of the traffic officers is simple and is based on common sense. This paper explains how to implement this strategy and gives some results obtained. The simulation is performed with the open-source traffic simulation software, simulation of urban mobility (SUMO). The preliminary simulation results are promising for the continuation of this research. The observation of patterns could bring to propose an intelligent system more efficient that reuses similar cases to save time.
引用
收藏
页码:127 / 137
页数:11
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