4.5 Article

A Reservation-Based Coordinated Transit Signal Priority Method for Bus Rapid Transit System With Connected Vehicle Technologies

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MITS.2020.3014151

Keywords

Delays; Real-time systems; Optimization; Connected vehicles; Schedules; Sensitivity analysis; Public transportation; Urban areas

Funding

  1. National Natural Science Foundation of China [U1811463]
  2. Science and Technology Program Project Grant of Guangzhou [201807010008, 201707010404]
  3. Lingnan Yingjie Project Reserve Talents of Science and Technology Program (Guangzhou, China)-Urban Transportation Decision-making and Evaluation Technology based on Big Data

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This article presents a reservation-based cooperative transit signal priority mechanism for a bus rapid transit system with connected vehicle technology. The proposed model can reduce average person delays by approximately 6.0-18.6% and has no negative impact on general traffic users even in a saturated condition, as demonstrated by simulation evaluation results.
This article develops a reservation-based cooperative transit signal priority (RCTSP) mechanism for a bus rapid transit (BRT) system with connected vehicle technology. The RCTSP mechanism is proposed to optimize multiple TSP requests within the same phase in a rolling horizon framework. The overall RCTSP architecture consists of three essential submodules: a bus dwell time guidance application, a bus speed guidance application, and a signal scheme optimization application. Thus, the proposed RCTSP strategy enables bus/signal cooperation in a connected vehicle environment. This problem is formulated as a binary mixed-integer nonlinear program that can be solved using the branch-and-bound algorithm. The proposed control method is verified and assessed using three actual signalized intersections along the Guangzhou BRT corridor. The simulation evaluation results show that the proposed model can reduce average person delays by approximately 6.0-18.6%. The sensitivity analysis indicates that the proposed method has no negative impact on general traffic users even in a saturated condition.

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