Integrated optimization for urban arterial traffic signal coordination andvehicle active speed guidance(PDF)
长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2018年02期
- Page:
- 94-102
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Integrated optimization for urban arterial traffic signal coordination andvehicle active speed guidance
- Author(s):
- LONG Kejun; GAO Zhibo; WU Wei; HAN Ke; DUAN Xi
- (1. Hunan Key Laboratory of Smart Highway and Cooperative Vehicle Infrastructure System, ChangshaUniversity of Science and Technology, Changsha 410114, Hunan, China; 2. Department of Civil andEnvironmental Engineering, Imperial College London, London SW7 2AZ, UK; 3. Department ofCivil and Coastal Engineering, University of Florida, Gainesville FL32611, Florida, USA)
- Keywords:
- traffic engineering; signal coordination; particle swarm optimization; speed guidance; cooperative vehicle infrastructur
- PACS:
- -
- DOI:
- -
- Abstract:
- In light of the characters and the deficiencies of passive response control based on vehicle arrival driven by the signal coordination control of present trunk lines, a collaborative optimization method for signal coordination control of trunk lines and active guidance of vehicle speed under the environment of vehicle network was proposed. The optimization principle was as follows, under the environment of twoway communication of vehiclesignal control system, speed guidance was introduced on the basis of coordination control of trunk lines to adjust vehicles arrival time at intersection, so as to avoid vehicles arriving at intersection during red light, reduce the number of parking and improve the efficiency of coordination control system. Firstly, the twoway green wave bandwidth was chosen as the basis of coordination control scheme, and according to the present signal color and the remaining time of the downstream intersection, the vehicle guidance was divided into red light guidance and green light guidance, and the optimal speed equations were given respectively; based on the optimal speed, the estimation method of vehicles arrival time, intersection delay and stopping number were given. Then the optimization model of integrated vehicle speed guidance and arterial green wave was established, in which the guiding speed and the phase difference of arterial green wave were taken as control variables, the maximization of bandwidth of green wave and the minimization of delays and stops phase difference of arterial green wave were taken as controls. The multiobjective search algorithm of particle swarm optimization was used to solve the optimization model. Four consecutive intersections of Xiangjiang Middle Road in Changsha City were selected to carry out case studies. The signal control scheme was designed by using the green wave Maxband model of the common arterial and the proposed integrated model respectively, and the efficiency was evaluated on the basis of VISSIM simulation platform. The results show that the proposed integrated model can adjust the phase difference and vehicle speed at the same time, increase the green wave bandwidth and reduce the parking times. In the simulation cycle, the average delay of uplink and downlink is reduced by 24.8% and 31.1% respectively, and the average parking times are reduced by 37.6% and 41.7% respectively, compared with Maxband model. The integrated model based on speed guidance can significantly improve the efficiency of coordination control of arterial lines. 4 tabs, 7 figs, 21 refs.
Last Update: 2018-04-03