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Application of Multi-objective Stochastic User Equilibrium Model in Traffic Network Optimization

Wen Huang

Abstract


When choosing routes in a transportation network, travelers not only consider travel time but also pay attention to multiple factors
such as travel time reliability and traffic costs. Traditional single-objective traffic assignment models struggle to fully reflect the complex decision-making behavior of travelers. Based on multi-objective optimization theory and the stochastic user equilibrium framework, this paper
proposes an improved multi-objective stochastic user equilibrium model. Taking travel time and travel time reliability as core objectives,
the model overcomes the limitations of traditional models in handling multi-objective decisions by introducing a non-compensatory decision-making mechanism and Pareto optimality theory. The improved model can more accurately describe travelers’ route choice behavior,
providing more scientific decision support for transportation network planning and management.

Keywords


Transportation Network Optimization; Multi-Objective Optimization; Stochastic User Equilibrium; Travel Time Reliability; Route Choice

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References


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DOI: https://doi.org/10.18686/utc.v11i1.259

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