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原文传递 Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty
题名: Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty
其他题名: Bai,L.,Hearn,D.,and Lawphongpanich,S.(2006)."Relaxed toll sets for congestion pricing problems."Mathematical and computational models for congestion charging,S.Lawphongpanich,D.Hearn,and M.Smith,eds.,Springer,New York,23–44.
正文语种: 英文
作者: Shaopeng Zhong
关键词: Congestion pricing;Traffic efficiency;Traffic safety;Multiobjective optimization;Mean-excess regret;Nash bargaining solution
摘要: 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.
出版年: 2017
论文唯一标识: P-72Y2017V143N04007
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/JTEPBS.0000025
期刊名称: Journal of Transportation Engineering
拼音刊名(出版物代码): P-72
卷: 143
期: 04
页码: 51-60
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