Authors
Huimin Yan, Fang He, Xi Lin, Jiaying Yu, Meng Li, Yinhai Wang
Publication date
2019/10/1
Journal
Transportation Research Part C: Emerging Technologies
Volume
107
Pages
266-286
Publisher
Pergamon
Description
Traffic signal coordination has long been recognized as an efficient way of achieving smooth urban traffic. This paper proposes a network-level multiband signal coordination (NMBSC) scheme to provide progression bands for major traffic streams extracted from vehicle trajectory data in urban road networks. A mixed-integer linear programming (MILP) formulation is proposed to model the NMBSC problem considering both bandwidths and interband connectivity. A decomposition-based heuristic is adopted to find a near-optimal solution to the MILP in a real-size network. Extensive numerical experiments are conducted using the VISSIM simulator to evaluate the performance of the proposed scheme by comparing it with some existing approaches. Simulation results show that the timing plan derived from NMBSC can improve the network-level performance under both uniform and non-uniform demand patterns in …
Total citations
201920202021202220232024188171211
Scholar articles
H Yan, F He, X Lin, J Yu, M Li, Y Wang - Transportation Research Part C: Emerging …, 2019