Traffic jam in signalized road network
来源期刊：中南大学学报(英文版)2014年第2期
论文作者：QI Hong-sheng(祁宏生) WANG Dian-hai(王殿海) CHEN Peng(陈鹏) BIE Yi-ming(别一鸣)
文章页码：832 - 842
Key words：traffic engineering; network traffic jam; virtual signal; traffic control
Abstract: Traffic jam in large signalized road network presents a complex nature. In order to reveal the jam characteristics, two indexes, SVS (speed of virtual signal) and VOS (velocity of spillover), were proposed respectively. SVS described the propagation of queue within a link while VOS reflected the spillover velocity of vehicle queue. Based on the two indexes, network jam simulation was carried out on a regular signalized road network. The simulation results show that: 1) The propagation of traffic congestion on a signalized road network can be classified into two stages: virtual split driven stage and flow rate driven stage. The former stage is characterized by decreasing virtual split while the latter only depends on flow rate; 2) The jam propagation rate and direction are dependent on traffic demand distribution and other network parameters. The direction with higher demand gets more chance to be jammed. Our findings can serve as the basis of the prevention of the formation and propagation of network traffic jam.
QI Hong-sheng(祁宏生)1, WANG Dian-hai(王殿海)1, CHEN Peng(陈鹏)2, BIE Yi-ming(别一鸣)3
(1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. Department of Civil Engineering, Nagoya University, Nagoya 464-8603, Japan;
3. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150091, China)
Abstract:Traffic jam in large signalized road network presents a complex nature. In order to reveal the jam characteristics, two indexes, SVS (speed of virtual signal) and VOS (velocity of spillover), were proposed respectively. SVS described the propagation of queue within a link while VOS reflected the spillover velocity of vehicle queue. Based on the two indexes, network jam simulation was carried out on a regular signalized road network. The simulation results show that: 1) The propagation of traffic congestion on a signalized road network can be classified into two stages: virtual split driven stage and flow rate driven stage. The former stage is characterized by decreasing virtual split while the latter only depends on flow rate; 2) The jam propagation rate and direction are dependent on traffic demand distribution and other network parameters. The direction with higher demand gets more chance to be jammed. Our findings can serve as the basis of the prevention of the formation and propagation of network traffic jam.
Key words:traffic engineering; network traffic jam; virtual signal; traffic control
