An optimal multi-objective dynamic traffic guidance approach based on dynamic traffic assignment

Yongpeng Zhao, Changxi Ma, Mingxi Zhao, Xuecai Xu and Bo Du

Physica A: Statistical Mechanics and its Applications, 2025, vol. 657, issue C

Abstract: Based on dynamic traffic assignment (DTA), this paper proposes a system-optimal multi-objective model for dynamic traffic guidance. Firstly, the physical road network is extended into a spatiotemporal network. By considering the impact of traffic congestion, a multi-objective linear programming model is formulated with the objectives of minimizing total travel time, total travel distance, total number of vehicles in the system, and total infrastructure maintenance cost. Subsequently, a solution method is devised, combining multiple objectives into a single composite objective function by weighted summation. Commercial solver like Gurobi is employed for single-objective linear optimization, and we iteratively calculate Pareto-efficient solutions and approximate the Pareto frontier. Ultimately, the precision and efficacy of the proposed model and solution method are validated through real-world travel data. Additionally, detailed analysis of the relationships between different objectives is conducted to reveal their impacts on the overall traffic guidance strategy.

Keywords: Road transportation; Dynamic traffic guidance; Dynamic traffic assignment; Multi-objective optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:657:y:2025:i:c:s0378437124007660

DOI: 10.1016/j.physa.2024.130257

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