| EPSRC Reference: |
GR/R06748/01 |
| Title: |
Distributed Adaptive Control For Traffic Signal Systems |
| Principal Investigator: |
Bull, Professor L |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Faculty of Environment and Technology |
| Organisation: |
University of the West of England |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 March 2001 |
Ends: |
28 February 2003 |
Value (£): |
72,666
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| EPSRC Research Topic Classifications: |
| Transport Ops & Management |
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| EPSRC Industrial Sector Classifications: |
| Transport Systems and Vehicles |
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Summary on Grant Application Form |
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This project will develop robust rules for on-line signal control of road traffic using Learning Classifier Systems. These offer the automated rule development of neural networks together with the transparency of a production system. This architecture offers substantial promise for traffic control systems because the response to variations in flows can be adapted according to measured traffic conditions. This is important to achieve control that can respond rapidly when conditions change fundamentally, as at the start of a peak period, without being unduly sensitive to short term variations. A closed-loop approach will be used to develop signal control strategies according to their performance, evaluated using detailed microscopic simulation as opposed to estimated from formulae that are adopted on the grounds of analytical convenience. The advantages of this include flexibility in respect of objectives so that multiple and varying policy needs can be accommodated, ability to use various kinds of detector data according to their availability, and freedom from dependence on any single evaluation formula that is intended to embody the whole traffic model. This final point is especially important because recent research shows that performance can depend strongly on certain fine details of the models used. The present result based approach will overcome those deficiencies.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.uwe.ac.uk |