The purpose of this project is to research and experiment on the application of vehicle detection software in traffic control systems, specifically to detect abnormal traffic situations, such as sudden lane change, vehicle going off the road and possibly vehicle accidents. The automation of tasks such as surveillance of the roadways, would help save on the maintenance of the road and help respond more effectively to abnormal situations, such as accidents. This would make traveling much easier for the travelers as it would save them time and money and would make traveling safer, since dangerous road conditions would be more effectively addressed. Furthermore, the members of the Department of Transportation would be better able to perform their jobs, without being impeded by tedious and repetitive tasks. All in all, the automation of certain aspects in a traffic control system proves to not only increase the effectiveness and robustness of the system, but also increase the quality of service and performance of the traffic control system.
Vehicle detection and tracking in traffic control systems
Fahrzeugerkennung und -verfolgung als Teil eines Verkehrlenkungssystems
2004
8 Seiten, 4 Bilder, 12 Quellen
Aufsatz (Konferenz)
Englisch
Robust Vehicle Detection and Tracking for Traffic Surveillance
British Library Conference Proceedings | 1999
|Multi-Vehicle Tracking Based Traffic Illegal Parking Detection
Trans Tech Publications | 2012
|Multi-Vehicle Tracking Based Traffic Illegal Parking Detection
Tema Archiv | 2012
|Mobile vision-based vehicle tracking and traffic control
IEEE | 2002
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