Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Mesoscopic simulator data to perform dynamic origin- destination matrices estimation in urban context
 
conference paper

Mesoscopic simulator data to perform dynamic origin- destination matrices estimation in urban context

Bert, E.
•
Chung, E.
•
Barcelò, J.
Show more
2008
Proceedings of the Third International Symposium of Transport Simulation 08 (Queensland, Australia)
Third International Symposium of Transport Simulation 2008 (IST08)

The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) for dense urban networks using traffic simulation data. From reviewing existing methods, from static to dynamic OD matrix evaluation, possible deficiencies in the approach could be identified. To improve the global process of traffic demand estimation, this paper is focusing 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 to perform the OD estimation. The Lower Level (traffic assignment) problem will determine, dynamically, the utilization of the network by vehicles using heuristic data from mesoscopic traffic simulator particularly adapted for urban context. The Upper Level (matrix adjustment) problem will proceed to an OD estimation using optimization least square techniques. In this way, a full dynamic and continuous estimation of the final OD matrix could be obtained. First evaluation of the proposed approach and conclusions are presented.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

EmmanuelBert-Full2 Corr.pdf

Access type

openaccess

Size

453.08 KB

Format

Adobe PDF

Checksum (MD5)

f163a6aa485d4929b9d0ac3f7a7c9825

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés