Title of Paper:Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty

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Date of Publication:2017-04-01

Journal:JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS

Included Journals:SCIE、EI、SSCI

Volume:143

Issue:4

ISSN No.:2473-2907

Key Words:Congestion pricing; Traffic efficiency; Traffic safety; Multiobjective optimization; Mean-excess regret; Nash bargaining solution

Abstract:The impacts of road congestion charges on traffic safety are often overlooked in evaluating the benefits of congestion charging practices and searching for traffic safety strategies. This paper aims to examine how congestion pricing affects both efficiency and automobile safety. The first part of the study proposes and formulates the general traffic accident minimization pricing (TAMP) problem. Considering within-day and day-to-day travel demand fluctuations, a multiobjective bilevel optimization model under stochastic travel demand is developed based on the TAMP problem. This model is employed to determine the optimal toll levels that minimize both the negative externalities of congestion and accidents. Numerical results indicate that the traditional efficiency-oriented congestion pricing scheme, which does not consider impacts to safety, is often implemented in a less beneficial manner with regard to accident reduction. (C) 2017 American Society of Civil Engineers.