Highlights Network-level multiband-based signal coordination using vehicle trajectory data. Bandwidth maximization based on consecutive streams. Simultaneous optimization of phase sequences and offsets. A decomposition-based heuristic for large-scale problems. Real-world cases to evaluate proposed method.
Abstract 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 terms of average delay and average number of stops. Sensitivity analyses are also conducted to illustrate the robustness of the proposed method with limited trajectory data.
Network-level multiband signal coordination scheme based on vehicle trajectory data
Tramsportation Research, Part C: Emerging Technologies ; 107 ; 266-286
2019-08-14
21 pages
Article (Journal)
Electronic Resource
English
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