MODELING THE CONGESTION COST AND VEHICLE EMISSION WITHIN MULTIMODAL TRAFFIC NETWORK UNDER THE CONDITION OF EQUILIBRIUM

作     者：Bingfeng SI Ming ZHONG Xiaobao YANG Ziyou GAO 

作者机构：MOE Key Laboratory for Urban Transportation Complex Systems Theory and TechnologyBeijing Jiaotong University Department of Civil EngineeringUniversity of New BrunswickFrederictonN.B.Canada 

出 版 物：《Journal of Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)

年 卷 期：2012年第21卷第4期

页      面：385-402页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 082303[工学-交通运输规划与管理] 0802[工学-机械工程] 0811[工学-控制科学与工程] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程] 

基　　金：supported by National Natural Science Foundation of China under Grant Nos.71071016,71131001 National Basic Research Program of China under Grant No.2012CB725400 supported by Fundamental Research Funds for the Central Universities under Grant Nos.2012JBM056,2012JBZ005 

主　　题：Multimodal network vehicle emission system optimization bi-level programming 

摘      要：Traditional system optimization models for traffic network focus on the treatment of congestion, which usually have an objective of minimizing the total travel time. However, the negative externality of congestion, such as environment pollution, is neglected in most cases. Such models fall short in taking Greenhouse Gas （GHG） emissions and its impact on climate change into consideration. In this paper, a social-cost based system optimization （SO） model is proposed for the multimodal traffic network considering both traffic congestion and corresponding vehicle emission. Firstly, a variation inequality model is developed to formulate the equilibrium problem for such network based on the analysis of travelers＇ combined choices. Secondly, the computational models of traffic congestion and vehicle emission of whole multimodal network are proposed based on the equilibrium link-flows and the corresponding travel times. A bi-level programming model, in which the social-cost based SO model is treated as the upper-level problem and the combined equilibrium model is processed as the lower-level problem, is then presented with its solution algorithm. Finally, the proposed models are illustrated through a simple numerical example. The study results confirm and support the idea of giving the priority to the development of urban public transport, which is an effective way to achieve a sustainable urban transportation.