Title :
Linking automatic incident detection with diversion strategies using MOLA
Author :
Strong, Tim ; Harwood, N. ; White, Joanna ; Flint, Andi ; Beale, Stuart
Author_Institution :
TRL Ltd., UK
Abstract :
This project links two research areas: automatic incident detection (AID) with the provision of diversion route advice to traffic operators using MOLA (motorway online advisor) which was originally developed as a decision support system for tactical traffic control. This paper describes the development of a unique algorithm and considers the issues of detection rate, false alarm rate and time to detection with respect to the application, namely MOLA
Keywords :
accidents; computerised monitoring; decision support systems; road traffic; traffic control; traffic engineering computing; MIDAS; MOLA; automatic incident detection; decision support system; diversion route advice; motorway online advisor; tactical traffic control; traffic flow prediction; validation subsystem;
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:20020219