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A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance

Author

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  • Xinhua Mao

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Jianwei Wang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Changwei Yuan

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Wei Yu

    (Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Jiahua Gan

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China)

Abstract

Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path. A serious unbalance of traffic flow in the network can speed up pavement deterioration of highways with heavy traffic, which influences the sustainability of pavement performance and increases maintenance expenditures. The purpose of this research is to obtain a more optimized traffic assignment for pavement damage reduction by establishing a multi-objective DTA model with the objectives of not only minimum travel time but minimum decline of Present Serviceability Index (PSI) for pavements. Then, teaching-learning-based optimization (TLBO) algorithm is utilized to solve the proposed model. Results of a case study indicate that a more balanced traffic flow assignment can be realized by the model, which can effectively reduce average PSI loss, save maintenance expenditures, extend pavement service life span, save fuel consumption and reduce pollutant emissions in spite of a little increase of average travel time. Additionally, sensitivity of weight factor for the two objective functions is analyzed. This research provides some insights on methods on sustainable pavement performance.

Suggested Citation

  • Xinhua Mao & Jianwei Wang & Changwei Yuan & Wei Yu & Jiahua Gan, 2018. "A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:170-:d:194072
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    References listed on IDEAS

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    Cited by:

    1. Marta Rojo, 2020. "Evaluation of Traffic Assignment Models through Simulation," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    2. Xinhua Mao & Changwei Yuan & Jiahua Gan & Jibiao Zhou, 2019. "Optimal Evacuation Strategy for Parking Lots Considering the Dynamic Background Traffic Flows," IJERPH, MDPI, vol. 16(12), pages 1-20, June.

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