Solving multi-objective traffic assignment

被引:20
|
作者
Raith, Andrea [1 ]
Wang, Judith Y. T. [1 ]
Ehrgott, Matthias [1 ]
Mitchell, Stuart A. [2 ]
机构
[1] Univ Auckland, Dept Engn Sci, Auckland, New Zealand
[2] Stuart Mitchell Consulting, Auckland, New Zealand
关键词
Multi-objective optimisation; Traffic assignment; Network equilibrium; Nonlinear value of time; VECTOR VARIATIONAL-INEQUALITIES; NETWORK EQUILIBRIUM; DECISION-MAKING; MULTICLASS; ALGORITHMS; MODEL;
D O I
10.1007/s10479-012-1284-1
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Traffic assignment is a key component in transport planning models. It models travel behaviour in terms of route choice. This is essential to accurately forecast travel demand and most importantly to enable the correct assessment of the benefits of changes in transport policies and infrastructure developments. The route choice of travellers may be influenced by multiple objectives, for example travel time but also travel associated toll costs. Here, travellers may avoid a fast route because of toll costs associated with it. We explicitly distinguish those functions as separate route choice objectives. This leads to the concept of multi-objective traffic assignment (MTA). We discuss the concept of MTA, and develop heuristic solution methods to obtain equilibrium solutions of MTA and present some computational results.
引用
收藏
页码:483 / 516
页数:34
相关论文
共 50 条
  • [1] Solving multi-objective traffic assignment
    Andrea Raith
    Judith Y. T. Wang
    Matthias Ehrgott
    Stuart A. Mitchell
    Annals of Operations Research, 2014, 222 : 483 - 516
  • [2] A dual approach to solving a multi-objective assignment problem
    Medvedeva, O. A.
    Medvedev, S. N.
    INTERNATIONAL CONFERENCE APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND MECHANICS: CURRENT PROBLEMS, 2018, 973
  • [3] Multi-Objective Assignment Problem with Varied Weights and Its Solving Method
    Zhang Yan
    Zhao Xinzhong
    Lu Dengyu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MANAGEMENT AND ENGINEERING (CME 2014), 2014, : 1143 - 1149
  • [4] A new heuristic method for solving unbalanced multi-objective assignment problem
    Fouad, Faten
    Kassam, Alla Eldin H.
    Al-Zubaidi, Sawsan S.
    ENGINEERING RESEARCH EXPRESS, 2024, 6 (04):
  • [5] Multi-objective Genetic Algorithm for Solving Routing and Spectrum Assignment Problem
    Dao Thanh Hai
    2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017), 2017, : 177 - 180
  • [6] Analysis of a parallel MOEA solving the multi-objective quadratic assignment problem
    Kleeman, MP
    Day, RO
    Lamont, GB
    GENETIC AND EVOLUTIONARY COMPUTATION GECCO 2004 , PT 2, PROCEEDINGS, 2004, 3103 : 402 - 403
  • [7] Analysis of a parallel MOEA solving the multi-objective quadratic assignment problem
    Kleeman, Mark P.
    Day, Richard O.
    Lamont, Gary B.
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3103 : 402 - 403
  • [8] An optimal multi-objective dynamic traffic guidance approach based on dynamic traffic assignment
    Zhao, Yongpeng
    Ma, Changxi
    Zhao, Mingxi
    Xu, Xuecai
    Du, Bo
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2025, 657
  • [9] PRINCIPLES OF CONTROLLING TRAFFIC NOISE - SOLVING A MULTI-OBJECTIVE DECISION PROBLEM
    BERGENDAHL, G
    REGIONAL SCIENCE AND URBAN ECONOMICS, 1976, 6 (04) : 419 - 437
  • [10] Solving multi-objective optimization model for weapon target assignment by NRIWO algorithm
    Liu, Xiao
    Liu, Zhong
    Hou, Wenshu
    Xu, Jianghu
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2013, 41 (05): : 68 - 72