Semi-dynamic traffic assignment model with mode and route choices under stochastic travel times

被引:23
|
作者
Nakayama, Sho-ichiro [1 ]
Takayama, Jun-ichi [1 ]
Nakai, Junya [2 ]
Nagao, Kazuki [3 ]
机构
[1] Kanazawa Univ, Sch Environm Design, Kanazawa, Ishikawa 9201192, Japan
[2] Kanazawa Univ, Grad Sch Nat Sci & Technol, Kanazawa, Ishikawa 9201192, Japan
[3] Oriental Consultants Co Ltd, Shibuya Ku, Tokyo 1510071, Japan
关键词
semi-dynamic traffic assignment model; stochastic travel times; mode choice; route choice; non-linear complementarity problem; EQUILIBRIUM; NETWORK;
D O I
10.1002/atr.208
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Transportation network conditions vary significantly during the course of a day. In many urban areas, public transit and (private) automobiles constitute the actual forms of transportation that use such networks. Public transportation by rail is more reliable than by automobiles or buses; therefore, ordinary static and deterministic traffic assignment models with combined mode and route choices may not be suitable to assess a transportation network that includes public railways. Moreover, within-day dynamics and reliability need to be incorporated in such a model. In this paper, we use a semi-dynamic traffic assignment model that considers within-day dynamics by improving the static traffic assignment model. In addition, stochastic travel times are incorporated into the model. Thus, we propose a semi-dynamic traffic assignment model with mode choice between public transit and automobiles, route choice with stochastic travel times, and an accompanying computing algorithm. This model enables us to assess within-day dynamics of transportation networks and travel time reliability of public railways. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:269 / 281
页数:13
相关论文
共 50 条
  • [1] Semi-dynamic traffic assignment model with mode and route choices under stochastic travel times
    School of Environmental Design, Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan
    不详
    不详
    [J]. J Adv Transp, 2012, 3 (269-281):
  • [2] A SEMI-DYNAMIC TRAFFIC ASSIGNMENT MODEL CASE STUDY: KANAZAWA CITY
    Pham Thi Thu Ha
    Nakayama, Sho-Ichiro
    Takayama, Jun-Ichi
    [J]. TRANSPORTATION & LOGISTICS MANAGEMENT, 2012, : 657 - 664
  • [3] Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints
    Brederode, Luuk
    Gerards, Lotte
    Wismans, Luc
    Pel, Adam
    Hoogendoorn, Serge
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023,
  • [4] Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints
    Brederode, Luuk
    Gerards, Lotte
    Wismans, Luc
    Pel, Adam
    Hoogendoorn, Serge
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023,
  • [5] A Mean-Risk Model for the Traffic Assignment Problem with Stochastic Travel Times
    Nikolova, E.
    Stier-Moses, N. E.
    [J]. OPERATIONS RESEARCH, 2014, 62 (02) : 366 - 382
  • [6] Travel times in quasi-dynamic traffic assignment
    van der Gun, Jeroen P. T.
    Pel, Adam J.
    van Arem, Bart
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 16 (03) : 865 - 891
  • [7] Electric Vehicles Travel Guidance Strategy Based on Semi-dynamic Traffic Flow State Model
    Ke, Song
    Chen, Lei
    Yang, Jun
    Wu, Fuzhang
    Fan, Peixiao
    Ye, Li
    [J]. Dianwang Jishu/Power System Technology, 2023, 47 (08): : 3362 - 3375
  • [8] Analytical dynamic traffic assignment model with probabilistic travel times and perceptions.
    Liu, HX
    Ban, XG
    Ran, B
    Mirchandani, P
    [J]. TRANSPORTATION NETWORK MODELING 2002: PLANNING AND ADMINISTRATION, 2002, (1783): : 125 - 133
  • [9] Stochastic Dynamic Traffic Assignment Model under Emergent Incidents
    Ji, Xun
    Shao, Chunfu
    Wang, Bobin
    [J]. GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY, 2016, 138 : 620 - 629
  • [10] Dynamic link travel time model in dynamic traffic assignment
    Li, SG
    [J]. 2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 1036 - 1039