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Motorway incident detection using probe vehicles

Record type: Article

Vehicles that collect data from a traffic stream of which they are part (i.e. probe vehicles) have been shown to provide reliable and cost-effective real-time travel information. This paper presents a probe-vehicle-based algorithm designed to detect incidents on motorways. The algorithm is based on a bivariate analysis model (BEAM) using two variables: the average travel times of probe vehicles, and the travel time differences between adjacent time intervals. The premise of the model is that link travel times increase more rapidly as a result of a change in capacity (i.e. when an incident occurs) than as a result of a change in demand. The statistical principles of bivariate analysis have been used to study the relationships between the two variables in incident and non-incident conditions. Four motorway road links with field data have been used to test the feasibility of the model with 99% and 99.9% coverage contours respectively. The model achieved an average incident detection rate of 89.5% with a false alarm rate of 0.71% using the 99% coverage contour. The average incident detection rate was 73.7% with a false alarm rate of 0.57% using the 99.9% coverage contour.

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Citation

Li, Y. and McDonald, M. (2005) Motorway incident detection using probe vehicles Proceedings of the Institution of Civil Engineers: Transport, 158, (1), pp. 11-15. (doi:10.1680/tran.158.1.11.57825).

More information

Published date: 1 February 2005
Keywords: transport management, safety & hazards

Identifiers

Local EPrints ID: 53652
URI: http://eprints.soton.ac.uk/id/eprint/53652
ISSN: 0965-092X
PURE UUID: fa41baf4-70b1-4f3d-a214-36c9a8b69740

Catalogue record

Date deposited: 23 Jul 2008
Last modified: 17 Jul 2017 14:37

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