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author:

Lian, Peikun (Lian, Peikun.) [1] | Li, Zhenglong (Li, Zhenglong.) [2] | Rong, Jian (Rong, Jian.) [3] | Keel, Jack (Keel, Jack.) [4] | Lai, Yuanwen (Lai, Yuanwen.) [5] (Scholars:赖元文) | Chen, Ning (Chen, Ning.) [6]

Indexed by:

EI Scopus

Abstract:

For the situation of multiple priority requests, the serve sequence is one of several key factors that have a significant impact on the efficiency of Transit Signal Priority (TSP) strategies. The serve sequence relates to the TSP parameter settings and the priority phase settings. Therefore, the TSP optimization for multiple priority requests should consider the different combinations of priority phase settings in TSP strategies. In order to achieve that objective, this paper presents a cycle optimization method for multiple TSP requests based on VISSIM-based GA. The optimization method uses the length of signal cycle as its optimization time interval. This can not only consider the vehicle arrivals before the priority requests, but can also consider the vehicle arrivals after the priority requests. The optimization method uses VISSIM-based GA to optimize the TSP timing on a single signal cycle with different combinations of priority phase settings. The optimization method uses the VISSIMCOM functions “Save Snapshot” and “Load Snapshot” to ensure the VISSIM-based GA optimization of each signal cycle starts with the same initial traffic state. The experiments result shows that the cycle optimization with different priority phase settings can significantly improve the precision of VISSIM-based GA optimization when the TSP strategy is effective for the simulation program. The impact of previous cycle optimization will be offset by the next cycle optimization which can also handle traffic fluctuations. The optimization results are generated by the combinations of cycle optimization, VISSIM-based GA, and priority phase settings. © 2016, UK Simulation Society. All Rights Reserved.

Keyword:

Computer simulation Crashworthiness

Community:

  • [ 1 ] [Lian, Peikun]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 2 ] [Li, Zhenglong]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 3 ] [Rong, Jian]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 4 ] [Keel, Jack]Department of Information Technology, University of Wisconsin, United States
  • [ 5 ] [Lai, Yuanwen]College of Civil Engineering, Fuzhou University, Fuzhou; Fujian, China
  • [ 6 ] [Chen, Ning]College of Computer Science, Beijing University of Technology, Beijing, China

Reprint 's Address:

  • [lian, peikun]college of metropolitan transportation, beijing university of technology, beijing, china

Email:

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Source :

International Journal of Simulation: Systems, Science and Technology

ISSN: 1473-8031

Year: 2016

Issue: 24

Volume: 17

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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