The University of Southampton
University of Southampton Institutional Repository

Validation of capacity reductions in traffic monitoring systems

Validation of capacity reductions in traffic monitoring systems
Validation of capacity reductions in traffic monitoring systems
Both planned and unplanned events can reduce the capacities on roadways and result in congestion and delay. Currently, there are no complete and reliable sources which can be used by traffic operators to estimate capacity reductions. On many occasions, operators have to estimate capacity reductions using a large degree of subjectivity. This paper describes a methodology developed to validate capacity reductions from data collected within the traffic monitoring system. Methods for the determination of normal capacity, short-term and long-term capacity reductions are introduced. The proposed method has been successfully applied to derive capacity reductions using operational data. The results obtained are encouraging. It is believed that the method could be implemented in many traffic control centres to improve capacity reduction estimations
1424400937
1460-1465
IEEE
Zheng, P.
a46dbafc-a753-4f22-b825-a00fd36ebd44
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Jeffery, D.
6b14749b-4e69-45bb-976b-3bf197dc6c88
Zheng, P.
a46dbafc-a753-4f22-b825-a00fd36ebd44
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Jeffery, D.
6b14749b-4e69-45bb-976b-3bf197dc6c88

Zheng, P., McDonald, M. and Jeffery, D. (2006) Validation of capacity reductions in traffic monitoring systems. In IEEE Intelligent Transportation Systems Conference 2006. IEEE. pp. 1460-1465 . (doi:10.1109/ITSC.2006.1707429).

Record type: Conference or Workshop Item (Paper)

Abstract

Both planned and unplanned events can reduce the capacities on roadways and result in congestion and delay. Currently, there are no complete and reliable sources which can be used by traffic operators to estimate capacity reductions. On many occasions, operators have to estimate capacity reductions using a large degree of subjectivity. This paper describes a methodology developed to validate capacity reductions from data collected within the traffic monitoring system. Methods for the determination of normal capacity, short-term and long-term capacity reductions are introduced. The proposed method has been successfully applied to derive capacity reductions using operational data. The results obtained are encouraging. It is believed that the method could be implemented in many traffic control centres to improve capacity reduction estimations

This record has no associated files available for download.

More information

Published date: 31 January 2006
Venue - Dates: 9th International IEEE Conference on Intelligent Transportation Systems, Toronto, Canada, 2006-09-17 - 2006-09-20

Identifiers

Local EPrints ID: 53288
URI: http://eprints.soton.ac.uk/id/eprint/53288
ISBN: 1424400937
PURE UUID: 94ee040e-407d-4e80-8899-15f977b1a936

Catalogue record

Date deposited: 28 Jul 2008
Last modified: 15 Mar 2024 10:40

Export record

Altmetrics

Contributors

Author: P. Zheng
Author: M. McDonald
Author: D. Jeffery

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×