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Experiments simulation and design to set traffic lights’ operation rules

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  • Espinoza Mondragón, Jaime
  • Jiménez García, José Alfredo
  • Medina Flores, José Martín
  • Vázquez López, José Antonio
  • Téllez Vázquez, Sandra

Abstract

This empirical study aims to minimize the travel time of motor vehicles on one of the most important avenues in Celaya City, Guanajuato, Mexico, by means of the optimal synchronization of existing traffic lights. In the optimization process, the following three factors are considered with 3 evaluation levels each: traffic light cycle times; the synchrony defined as staggered, parallel and actual; and the speed limit. The response variables to consider were the average time in the system, the fuel consumption and the greenhouse effect gas (CO2) emissions. Different experiments were performed using the simulation model developed in the PTV-VISSIM software, which represents the vehicle traffic system. The obtained results for the different proposed scenarios allow proper levels to be determined for vehicle traffic system operation to improve mobility, reduce contamination rates and decrease fuel consumption for different motor vehicles using the avenue. As a result, it was possible to establish a methodology that combines microsimulation and design of experiments to program traffic lights and define the operating conditions of a complex vehicular flow system.

Suggested Citation

  • Espinoza Mondragón, Jaime & Jiménez García, José Alfredo & Medina Flores, José Martín & Vázquez López, José Antonio & Téllez Vázquez, Sandra, 2018. "Experiments simulation and design to set traffic lights’ operation rules," Transport Policy, Elsevier, vol. 67(C), pages 2-12.
    • Handle: RePEc:eee:trapol:v:67:y:2018:i:c:p:2-12
    DOI: 10.1016/j.tranpol.2017.09.014
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    References listed on IDEAS

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    1. Oh, Cheol & Choi, Jinheoun & Jung, Soyoung, 2016. "Proactive vehicle emissions quantification from crash potential under stop-and-go traffic conditions," Transport Policy, Elsevier, vol. 49(C), pages 86-92.
    2. Zhu, Wen-Xing, 2013. "Analysis of CO2 emission in traffic flow and numerical tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4787-4792.
    3. Barth, Matthew & Boriboonsomsin, Kanok, 2009. "Traffic Congestion and Greenhouse Gases," University of California Transportation Center, Working Papers qt3vz7t3db, University of California Transportation Center.
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    1. Bari, Chintaman S. & Chandra, Satish & Dhamaniya, Ashish & Arkatkar, Shriniwas & Navandar, Yogeshwar V., 2021. "Service time variability at manual operated tollbooths under mixed traffic environment: Towards level-of-service thresholds," Transport Policy, Elsevier, vol. 106(C), pages 11-24.

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