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Low Emissions and Delay Optimization for an Isolated Signalized Intersection Based on Vehicular Trajectories

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  • Ciyun Lin
  • Bowen Gong
  • Xin Qu

Abstract

A traditional traffic signal control system is established based on vehicular delay, queue length, saturation and other indicators. However, due to the increasing severity of urban environmental pollution issues and the development of a resource-saving and environmentally friendly social philosophy, the development of low-carbon and energy-efficient urban transport is required. This paper first defines vehicular trajectories and the calculation of vehicular emissions based on VSP. Next, a regression analysis method is used to quantify the relationship between vehicular emissions and delay, and a traffic signal control model is established to reduce emissions and delay using the enumeration method combined with saturation constraints. Finally, one typical intersection of Changchun is selected to verify the model proposed in this paper; its performance efficiency is also compared using simulations in VISSIM. The results of this study show that the proposed model can significantly reduce vehicle delay and traffic emissions simultaneously.

Suggested Citation

  • Ciyun Lin & Bowen Gong & Xin Qu, 2015. "Low Emissions and Delay Optimization for an Isolated Signalized Intersection Based on Vehicular Trajectories," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.
    • Handle: RePEc:plo:pone00:0146018
    DOI: 10.1371/journal.pone.0146018
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    References listed on IDEAS

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    1. Tie-Qiao Tang & Qiang Yu, 2016. "Influences of vehicles’ fuel consumption and exhaust emissions on the trip cost without late arrival under car-following model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(01), pages 1-9, January.
    2. Zhu, Wen-Xing & Zhang, Cheng-Hui, 2013. "Analysis of energy dissipation in traffic flow with a variable slope," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3301-3307.
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    Cited by:

    1. 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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