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Journey time estimation using single inductive loop detectors on non-signalised links

Journey time estimation using single inductive loop detectors on non-signalised links
Journey time estimation using single inductive loop detectors on non-signalised links
This paper describes two techniques designed to estimate vehicle journey times on non-signalised roads, using 250 ms digital loop-occupancy data produced by single inductive loop detectors. A mechanistic and a neural network approach provided historical journey time estimates every 30 s, based on the data collected from the previous 30 s period. These 30s estimates would provide the traffic network operator with immediate post-event congestion information on roads where no close circuit television cameras were present. The mechanistic approach estimated Journey times every 30 s between pairs of detectors, using the knowledge of vehicle speed derived from the loops and the distances between them. The 30s average loop-occupancy time per vehicle, average time-gap between vehicles and percentage occupancy parameters derived from the inductive loops were presented to a neural network for training along with the associated vehicles' measured journey times. The neural network was shown to consistently out-perform the mechanistic approach (in terms of the mean absolute percentage deviation from the mean measured travel time), particularly when using pairs of detectors
0160-5682
610-619
Cherrett, T. J.
e5929951-e97c-4720-96a8-3e586f2d5f95
McLeod, F. N.
93da13ec-7f81-470f-8a01-9339e80abe98
Bell, H
002e34be-1567-4038-9f17-b6a695a9a8a7
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Cherrett, T. J.
e5929951-e97c-4720-96a8-3e586f2d5f95
McLeod, F. N.
93da13ec-7f81-470f-8a01-9339e80abe98
Bell, H
002e34be-1567-4038-9f17-b6a695a9a8a7
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f

Cherrett, T. J., McLeod, F. N., Bell, H and McDonald, M. (2002) Journey time estimation using single inductive loop detectors on non-signalised links. Journal of the Operational Research Society, 53 (6), 610-619. (doi:10.1057/palgrave.jors.2601348).

Record type: Article

Abstract

This paper describes two techniques designed to estimate vehicle journey times on non-signalised roads, using 250 ms digital loop-occupancy data produced by single inductive loop detectors. A mechanistic and a neural network approach provided historical journey time estimates every 30 s, based on the data collected from the previous 30 s period. These 30s estimates would provide the traffic network operator with immediate post-event congestion information on roads where no close circuit television cameras were present. The mechanistic approach estimated Journey times every 30 s between pairs of detectors, using the knowledge of vehicle speed derived from the loops and the distances between them. The 30s average loop-occupancy time per vehicle, average time-gap between vehicles and percentage occupancy parameters derived from the inductive loops were presented to a neural network for training along with the associated vehicles' measured journey times. The neural network was shown to consistently out-perform the mechanistic approach (in terms of the mean absolute percentage deviation from the mean measured travel time), particularly when using pairs of detectors

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Published date: 2002

Identifiers

Local EPrints ID: 39387
URI: http://eprints.soton.ac.uk/id/eprint/39387
ISSN: 0160-5682
PURE UUID: 268ec70e-0a03-4763-a6a5-ff6af9bf73f0
ORCID for F. N. McLeod: ORCID iD orcid.org/0000-0002-5784-9342

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Date deposited: 28 Jun 2006
Last modified: 18 Feb 2021 16:33

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