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Hybrid stochastic framework for freeway traffic flow modelling

Research output: Contribution in Book/Report/ProceedingsPaper

Published
Publication date25/09/2003
Host publicationISICT '03: Proceedings of the 1st international symposium on Information and communication technologies
Pages372-377
Number of pages391
<mark>Original language</mark>English

Conference

ConferenceACM International Conference Proceeding Series. International Symposium on Information and Communication Technologies
CityDublin, Ireland
Period24/09/0326/09/03

Conference

ConferenceACM International Conference Proceeding Series. International Symposium on Information and Communication Technologies
CityDublin, Ireland
Period24/09/0326/09/03

Abstract

Traffic flow is an interesting many-particle phenomenon, with nonlinear interactions between the vehicles. This paper studies highway traffic and presents a general framework for traffic modelling as a stochastic hybrid system (with contin uous and discrete dynamics and some interactions between its components). The freeway is considered as a network of components, each component modelling a diffeerent section of the traffic network. A model is developed in order to design stochastic predictors of the flows. The different traffic modes and transitions between them are detected and analyzed in real data, collected by induction loop detectors from Belgian and Dutch freeways.

Bibliographic note

p. 372-377.