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Study on minimum emission control strategy on arterial road based on improved simulated annealing genetic algorithm

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  • Song, Ze-Rui
  • Zang, Li-Lin
  • Zhu, Wen-Xing

Abstract

In this paper, an optimal signal control model was presented to minimize the traffic emissions on an arterial road. In order to solve the optimal model, an improved simulated annealing genetic algorithm (ISAGA) was utilized by integrating microscopic traffic flow model with vehicle emission model. For simplicity, three intersections on a signalized arterial road were taken into account. During the optimizing process, the traffic flow model and the emission model were embedded into ISAGA as a fitness-calculating module. Through the experimental simulation, the results indicate that the optimal signal timing of the multi-intersection was realized by minimizing the emissions of vehicles on the arterial road. Moreover, it is found that the improved simulated annealing genetic algorithm is effective in solving the optimization model.

Suggested Citation

  • Song, Ze-Rui & Zang, Li-Lin & Zhu, Wen-Xing, 2020. "Study on minimum emission control strategy on arterial road based on improved simulated annealing genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    • Handle: RePEc:eee:phsmap:v:537:y:2020:i:c:s0378437119315341
    DOI: 10.1016/j.physa.2019.122691
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    Cited by:

    1. Zhou, Li & Yang, Xin & Wang, Huan & Wu, Jianjun & Chen, Lei & Yin, Haodong & Qu, Yunchao, 2020. "A robust train timetable optimization approach for reducing the number of waiting passengers in metro systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(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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