Stochastic Dynamic Traffic Assignment Model under Emergent Incidents

Urban emergent incidents affect transportation operation and result in the rapid spread of traffic congestion in the network, so it's necessary to analyze the dynamic changes of traffic flow distribution under emergent incidents. Therefore, model and algorithm for the dynamic traffic assignment problem under emergent incidents have been highly concerned by government and scholars. This paper proposes a stochastic dynamic traffic assignment (SDTA) model based user optimum considering the loss of node capacity and change of network structure under traffic and environment emergencies. The Nested Logit model is used to describe the departure time and path choice. Then, the variational inequality formulation is proposed and a discrete dynamic network loading algorithm is designed and validated by a numerical example. The results show that the model and algorithm can be used to express the development trend of actual dynamic network under emergency.

• Record URL:
  https://doi.org/10.1016/j.proeng.2016.01.299
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S187770581600326X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
• Supplemental Notes:
  • © 2016 Xun Ji et al. Published by Elsevier Ltd.
• Authors:
  • Ji, Xun
  • Shao, Chunfu
  • Wang, Bobin
• Conference:
  • 6th International Conference on Green Intelligent Transportation System and Safety (GITSS2015)
  • Location: Beijing , China
  • Date: 2015-7-2 to 2015-7-4
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 620-629
• Serial:
  • Procedia Engineering
  • Volume: 137
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-7058
  • Serial URL: http://www.sciencedirect.com/science/journal/18777058
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Departure time; Disasters and emergency operations; Dynamic traffic assignment; Emergencies; Route choice; Stochastic processes; Traffic incidents; Variational inequalities
• Uncontrolled Terms: Nested logit models; User optimum dynamic traffic assignment
• Subject Areas: Highways; Operations and Traffic Management; Security and Emergencies;

Filing Info

• Accession Number: 01607713
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 17 2016 3:03PM