Urban dynamic origin-destination matrices estimation

Emmanuel Bert, Edward Chung, André Gilles Dumont

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The aim of this paper is to explore a new approach to obtain better traffic demand (Origin- Destination, OD matrices) for dense urban networks. From reviewing existing methods, from static to dynamic OD matrix evaluation, possible deficiencies in the approach could be identified: traffic assignment details for complex urban network and lacks in dynamic approach. To improve the global process of traffic demand estimation, this paper is focussing on a new methodology to determine dynamic OD matrices for urban areas characterized by complex route choice situation and high level of traffic controls. An iterative bi-level approach will be used, the Lower level (traffic assignment) problem will determine, dynamically, the utilisation of the network by vehicles using heuristic data from mesoscopic traffic simulator and the Upper level (matrix adjustment) problem will proceed to an OD estimation using optimization Kalman filtering technique. In this way, a full dynamic and continuous estimation of the final OD matrix could be obtained. First results of the proposed approach and remarks are presented.

Original languageEnglish
Title of host publication15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Pages6751-6765
Number of pages15
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008 - New York, NY, United States
Duration: 16 Nov 200820 Nov 2008

Publication series

Name15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Volume10

Conference

Conference15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
Country/TerritoryUnited States
CityNew York, NY
Period16/11/0820/11/08

Keywords

  • destination matrices estimation
  • Dynamic traffic assignment
  • ITS
  • Origin
  • Traffic demand
  • Traffic simulation
  • Urban network

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

Cite this