Title :
Enhancing Automatic Incident Detection Techniques Through Vehicle To Infrastructure Communication
Author :
Abuelela, Mahmoud ; Olariu, Stephan ; Yan, Gongjun
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
Abstract :
One of the fundamental requirements of a traffic management system is the ability to determine when an incident has occurred so that proper responses can be initiated. Automatic incident detection (AID) has been considered a method for quickly detecting potential incidents on the road. Although vehicular ad hoc networks (VANETs) started mainly for safety applications, surprisingly a very few work have been done in VANETs for automatic incident detection while most of the research went for developing routing protocols and privacy techniques. In this paper, we introduce a novel incident detection technique for non dense traffic flow by taking advantage of communication between cars and some roadside infrastructure installed on the road every mile or so. The proposed technique can provide a great enhancement to the existing AID techniques specially under sparse traffic where most of them fail to detect non blocking incidents.
Keywords :
ad hoc networks; automobiles; mobile radio; road traffic; road vehicles; routing protocols; VANET; automatic incident detection technique; car traffic flow; roadside infrastructure; routing protocol; traffic management system; vehicle-to-infrastructure communication; vehicle-to-vehicle communication; vehicular ad hoc network; Ad hoc networks; Event detection; Intelligent transportation systems; Privacy; Road accidents; Routing protocols; Safety; Telecommunication traffic; Vehicle detection; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
DOI :
10.1109/ITSC.2008.4732687