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Modelling freeway networks by hybrid stochastic models

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date15/07/2004
Host publicationIntelligent Vehicles Symposium, 2004 IEEE
Pages182 - 187
Number of pages6
Original languageEnglish

Conference

ConferenceIEEE Intelligent Vehicle Symposium
CityParma, Italy
Period14/06/0417/06/04

Conference

ConferenceIEEE Intelligent Vehicle Symposium
CityParma, Italy
Period14/06/0417/06/04

Abstract

Traffic flow on freeways is a nonlinear, many-particle phenomenon, with complex interactions between the vehicles. This paper presents a stochastic hybrid model of freeway traffic at a time scale and at a level of detail suitable for on-line flow estimation, for routing and ramp metering control. The model describes the evolution of continuous and discrete state variables. The freeway is considered as a network of components, each component representing a different section of the network. The traffic model, designed from physical considerations, comprises sending and receiving functions describing the downstream and upstream propagation of perturbations to be controlled. Results from simulation investigations illustrate the effectiveness of our model compared to the well-known METANET model.

Bibliographic note

pp. 182-187 IEEE catalog number: 04TH8730C ISBN: 0-7803-8311-7 doi:10.1109/IVS.2004.1336378