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Dynamic Crosswalk Signal Timing Optimization Model Considering Vehicle and Pedestrian Delays and Fuel Consumption Cost

Author

Listed:
  • Keyan Bai

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Enjian Yao

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Long Pan

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Linze Li

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Wei Chen

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Due to the development of video perception technology, obtaining the volume of pedestrians and vehicles at a crosswalk has become much easier. Based on this development, this paper proposes a dynamic crosswalk signal timing optimization model and then analyzes the effects for three different signal timing strategies. First, we propose the dynamic signal timing optimization model by involving the delays of pedestrians and vehicles, as well as the fuel consumption cost, simultaneously. In the model, we design a dynamic signal timing strategy, using the volume of past cycles to predict the present volume, and then calculate the optimal signal timing by minimizing the total cost of the system. Second, the model is applied to a crosswalk in Beijing, China, as an example, and we compare and analyze the results of three timing strategies: Dynamic signal timing, optimal fixed timing, and current fixed timing. The results show that the dynamic signal timing is more efficient during the morning peak hour in terms of decreasing the total cost. Compared to the current fixed timing result, the vehicle delay and the fuel consumption decrease, while the pedestrian delay increases in both morning peak hour and flat hour for the other two signal timing strategies.

Suggested Citation

  • Keyan Bai & Enjian Yao & Long Pan & Linze Li & Wei Chen, 2020. "Dynamic Crosswalk Signal Timing Optimization Model Considering Vehicle and Pedestrian Delays and Fuel Consumption Cost," Sustainability, MDPI, vol. 12(2), pages 1-9, January.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:689-:d:310066
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    References listed on IDEAS

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    1. Yu, Chunhui & Ma, Wanjing & Han, Ke & Yang, Xiaoguang, 2017. "Optimization of vehicle and pedestrian signals at isolated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 135-153.
    2. Dong-Fan Xie & Xiao-Mei Zhao & Xin-Gang Li, 2015. "Cellular automaton modeling of traffic flow at a crosswalk with push button," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(02), pages 1-10.
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    Cited by:

    1. Sun, Qipeng & He, Chen & Wang, Yongjie & Liu, Hang & Ma, Fei & Wei, Xiao, 2022. "Reducing violation behaviors of pedestrians considering group interests of travelers at signalized crosswalk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    2. Suhaib Alshayeb & Aleksandar Stevanovic & Nikola Mitrovic & Elio Espino, 2022. "Traffic Signal Optimization to Improve Sustainability: A Literature Review," Energies, MDPI, vol. 15(22), pages 1-24, November.

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