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. Dynamic Origin-Destination Matrices Estimation Method for urban Networks
 
Loading...
Thumbnail Image
conference paper

Dynamic Origin-Destination Matrices Estimation Method for urban Networks

Bert, E.
•
Chung, E.
•
Dumont, A.-G.  
2007
Proceedings of the 7th STRC Swiss Transport Research
7th STRC Swiss Transport Research Conference

The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in case of dense urban networks. To improve the global process of OD demand estimation, this paper is focussing on a new methodology to execute the dynamic OD matrices determination adapted to urban area. An iterative bi-level approach will be use to perform the OD estimation. The Lower level problem will determine dynamically the utilisation of the network by vehicles using heuristic data from traffic simulator. This simulation will be mesoscopic and a particular calibration will be done, focusing mainly on flow and route choice indicators. “Design of Experiment” will be use to evaluate the influence of the parameters and to assess the best parameters combination. The Upper level problem will proceed to an OD adjustment using Kalman filtering technique.

  • Details
  • Metrics
Type
conference paper
Author(s)
Bert, E.
•
Chung, E.
•
Dumont, A.-G.  
Date Issued

2007

Published in
Proceedings of the 7th STRC Swiss Transport Research
Subjects

Traffic simulation

•

Origin-destination matrices

•

Dynamic traffic assignment

•

Urban Network

Note

CD

URL

URL

http://www.strc.ch/
Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LAVOC  
Event nameEvent placeEvent date
7th STRC Swiss Transport Research Conference

Monte Verità, Ascona, Switzerland

September 12-14, 2007

Available on Infoscience
January 31, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/17320
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