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Details of Grant 

EPSRC Reference: GR/L25462/01
Title: POTENTIAL FOR IMPROVED SIGNAL CONTROL OF ROAD TRAFFIC USING IMAGE ANALYSIS
Principal Investigator: Allsop, Professor R
Other Investigators:
Heydecker, Professor B
Researcher Co-Investigators:
Project Partners:
Oscar Fabers & Partners Pre Nexus Migration
Department: Civil Environmental and Geomatic Eng
Organisation: UCL
Scheme: Standard Research (Pre-FEC)
Starts: 01 December 1996 Ends: 30 June 1999 Value (£): 246,147
EPSRC Research Topic Classifications:
Transport Ops & Management
EPSRC Industrial Sector Classifications:
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Summary on Grant Application Form
Two advanced methods of traffic-responsive signal control are in widespread use in Britain : MOVA for isolated junctions and SCOOT for coordinated control in networks. These and other metods compete in world markets. The main source of traffic data is inductive loops or other point detectors.Recent studies of actual operation have indicated scope for combining the best features of MOVA and SCOOT in a single more flexible control strategy if on-line analysis of video images can provide suitable information about vehicle movement between and on the approaches of junctions.This possibility will be explored using UCL's detailed parallel computing simulaton model of traffic networks under traffic-responsive control together with in-house expertise in image analysis. The research will use knowledge of proven image analysis techniques to simulate fata that could be gathered in real conditions by means of image analysis. Such data will be used to devise and test by detailed simulation new control algorithms based on real-time detection of platoons and their periodicity to induce co-ordination and maximisation of use of green time by real-time monitoring of throughput. The results will be discussed in detail with traffic control engineers and equipment suppliers in terms of development work and image analysis capability required to implement the resulting strategy in the context of the DoT Framework for Development of Urban Traffic Management and Control Systems.
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