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A simple explicit model approximating the relationship between speed and density of vehicular traffic on urban roads

A simple explicit model approximating the relationship between speed and density of vehicular... With the increase in simulation of urban environments for the purpose of planning, modelling vehicular traffic has become important. Since empirical evidence on traffic flow is relatively sparse, models are being increasingly used for planning urban roads and environments. In this paper, a simple, explicit model is proposed to approximate the speed versus density of vehicular traffic flow. The model, which uses two parameters derived from simple measurements of real-time traffic data, allows for a prediction of the approximate relationship for congested as well as uncongested vehicular traffic flow. The proposed model is especially useful in conditions where available data is sparse and can be invaluable for the modelling and simulation of urban environments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Critical Infrastructures Inderscience Publishers

A simple explicit model approximating the relationship between speed and density of vehicular traffic on urban roads

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1475-3219
eISSN
1741-8038
DOI
10.1504/IJCIS.2012.049039
Publisher site
See Article on Publisher Site

Abstract

With the increase in simulation of urban environments for the purpose of planning, modelling vehicular traffic has become important. Since empirical evidence on traffic flow is relatively sparse, models are being increasingly used for planning urban roads and environments. In this paper, a simple, explicit model is proposed to approximate the speed versus density of vehicular traffic flow. The model, which uses two parameters derived from simple measurements of real-time traffic data, allows for a prediction of the approximate relationship for congested as well as uncongested vehicular traffic flow. The proposed model is especially useful in conditions where available data is sparse and can be invaluable for the modelling and simulation of urban environments.

Journal

International Journal of Critical InfrastructuresInderscience Publishers

Published: Jan 1, 2012

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