Boel, R. and Mihaylova, L. (2006) A compositional stochastic model for real time freeway traffic simulation. Transportation Research Part B: Methodological, 40 (4). 319 - 334. ISSN 0191-2615
Abstract
Traffic flow on freeways is a non-linear, many-particle phenomenon, with complex interactions between vehicles. This paper presents a stochastic model of freeway traffic at a time scale and of a level of detail suitable for on-line estimation, routing and ramp metering control. The freeway is considered as a network of interconnected components, corresponding to one-way road links consisting of consecutively connected short sections (cells). The compositional model proposed here extends the Daganzo cell transmission model by defining sending and receiving functions explicitly as random variables, and by also specifying the dynamics of the average speed in each cell. Simple stochastic equations describing the macroscopic traffic behavior of each cell, as well as its interaction with neighboring cells are obtained. This will allow the simulation of quite large road networks by composing many links. The model is validated over synthetic data with abrupt changes in the number of lanes and over real traffic data sets collected from a Belgian freeway.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2006 Elsevier. This is an author produced version of a paper subsequently published in Transportation Research Part B: Methodological. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | macroscopic traffic models; freeway traffic; stochastic systems; sending and receiving functions |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Dec 2014 10:00 |
Last Modified: | 26 Mar 2018 13:36 |
Published Version: | http://dx.doi.org/10.1016/j.trb.2005.05.001 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | No |
Identification Number: | 10.1016/j.trb.2005.05.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82260 |