The University of Southampton
University of Southampton Institutional Repository

Event detection based on loop and journey time data

Record type: Article

An algorithm that examines the travel time (TT) and the corresponding loop-based information at the same time is proposed. It monitors TT and the traffic speeds on all the loops within the TT section continuously. Event alerts are activated when there is a significant reduction of speeds on at least one loop detector in addition to a significant increase in the TT. An event may be detected by TT at some stage, by loop data at another stage, or by a logical combination of two. The algorithm using fixed thresholds has been tested based on operational data collected in the National Traffic Control Centre. The thresholds are determined based on tradeoffs between detection and false alarm rates (FAR). Test results based on a full day of data indicate that the integrated algorithm has achieved an impressive detection rate and a FAR which should be easily manageable by operators. Further work would be needed to confirm operations and facilitate a practical implementation.

Full text not available from this repository.

Citation

Zheng, P., McDonald, M. and Jeffery, D. (2008) Event detection based on loop and journey time data Institution of Engineering & Technology, Intelligent Transport Systems, 2, (2), pp. 113-119. (doi:10.1049/iet-its:20070042).

More information

Published date: June 2008

Identifiers

Local EPrints ID: 52817
URI: http://eprints.soton.ac.uk/id/eprint/52817
ISSN: 1751-956X
PURE UUID: 86bef87e-00d6-4b73-80b8-a41af39dce67

Catalogue record

Date deposited: 14 Jul 2008
Last modified: 17 Jul 2017 14:39

Export record

Altmetrics

Contributors

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

University divisions


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.

×