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Urban traffic management: the feasibility of shorter term congestion forecasting using artificial neural networks

Urban traffic management: the feasibility of shorter term congestion forecasting using artificial neural networks
Urban traffic management: the feasibility of shorter term congestion forecasting using artificial neural networks
European Transport Forum
Hounsell, N. B.
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McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Lyons, G.D.
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Williams, B.
2f741a34-78b1-4141-98de-6489ab972d8e
Cheese, J.
4b7e0818-651a-4a55-a55b-e1c0774dfc49
Radia, B.
264344c6-f8d2-40e0-af8f-0d5b8f8268ae
Hounsell, N. B.
54781702-9b09-4fb7-8d9e-f0b7833731e5
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Lyons, G.D.
6f3b7c47-0b1b-44ce-9435-9f4e2ae6b985
Williams, B.
2f741a34-78b1-4141-98de-6489ab972d8e
Cheese, J.
4b7e0818-651a-4a55-a55b-e1c0774dfc49
Radia, B.
264344c6-f8d2-40e0-af8f-0d5b8f8268ae

Hounsell, N. B., McDonald, M., Lyons, G.D., Williams, B., Cheese, J. and Radia, B. (1996) Urban traffic management: the feasibility of shorter term congestion forecasting using artificial neural networks. In Proceedings of the 24th European Transport Forum: Transport Policy and its Implementation. European Transport Forum..

Record type: Conference or Workshop Item (Paper)

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More information

Published date: 1996
Venue - Dates: PTRC, United Kingdom, 1996-09-02 - 1996-09-06

Identifiers

Local EPrints ID: 74041
URI: https://eprints.soton.ac.uk/id/eprint/74041
PURE UUID: 1ad094d1-f02f-48a6-b177-cab86902aba4

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Date deposited: 11 Mar 2010
Last modified: 18 Jul 2017 23:47

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Contributors

Author: N. B. Hounsell
Author: M. McDonald
Author: G.D. Lyons
Author: B. Williams
Author: J. Cheese
Author: B. Radia

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