A fuzzy-based system for incident detection in urban street networks
- 1 April 2007
- journal article
- Published by Elsevier in Transportation Research Part C: Emerging Technologies
- Vol. 15 (2) , 69-95
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- A Microscopic Simulation Model for Incident Modeling in Urban NetworksTransportation Planning and Technology, 2007
- A non-cooperative neuro-fuzzy system for integrating ATIS and ATMS decisionsFuzzy Sets and Systems, 2004
- Characterization of incidents on an urban arterial roadJournal of Advanced Transportation, 2001
- Automated Accident Detection SystemTransportation Research Record: Journal of the Transportation Research Board, 2001
- Traffic monitoring and accident detection at intersectionsIEEE Transactions on Intelligent Transportation Systems, 2000
- Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural networkTransportation Research Part C: Emerging Technologies, 1999
- Fuzzy ART Neural Network Model for Automated Detection of Freeway IncidentsTransportation Research Record: Journal of the Transportation Research Board, 1998
- Analysis of Freeway Accident DetectionTransportation Research Record: Journal of the Transportation Research Board, 1997
- Use of vehicle positioning data for arterial incident detectionTransportation Research Part C: Emerging Technologies, 1996
- Automated detection of lane-blocking freeway incidents using artificial neural networksTransportation Research Part C: Emerging Technologies, 1995