Title :
Traffic data: less is more
Author_Institution :
Highways Agency, UK
Abstract :
In support of the Governments 10 Year Transport Plan the Highways Agency has an ambitious programme to roll-out traffic systems on the English motorway network. The control methodologies within these systems can be further developed which will help meet the Government´s targets to reduce congestion and accidents. This paper describes three innovative projects being undertaken by the Highways Agency. The approach to these projects departs from the traditional engineering approach, instead we have used mathematical techniques to evolve control functions that learn and operate on the available traffic data
Keywords :
genetic algorithms; neural nets; road traffic; sensor fusion; traffic control; traffic information systems; English motorway network; Highways Agency; ITS systems; control functions; control methodologies; incident detection algorithms; information fusion architecture; journey time prediction; mathematical techniques; neural networks; road accidents reduction; traffic congestion reduction; traffic data; traffic systems;
Conference_Titel :
Road Transport Information and Control, 2002. Eleventh International Conference on (Conf. Publ. No. 486)
Conference_Location :
London
Print_ISBN :
0-85296-746-2
DOI :
10.1049/cp:20020233