DocumentCode
679326
Title
A decision making module for cooperative collision warning systems using Vehicular Ad-Hoc Networks
Author
Zardosht, Besat ; Beauchemin, Stephen ; Bauer, Michael A.
Author_Institution
Comput. Sci. Dept., Western Univ., London, ON, Canada
fYear
2013
fDate
6-9 Oct. 2013
Firstpage
1743
Lastpage
1749
Abstract
Using a Vehicular Ad-Hoc Network (VANET) communication for cooperative collision warning system can increase safety, convenience and efficiency in driving. Intelligent vehicles can collect information about the driving environment, the driver situation and more importantly other vehicles´ information using wireless communication. However, deciding what data to considered, what data to ignore and if and what action should be taken in different situations is a significant issue. In this work, we explore the use of a decision making module for accident situations which processes information from VANET communication and advises the driver based on the situation. Our decision making algorithm is a simple and effective algorithm that can be implement in each vehicle to assist the driver in certain situations. Rerouting to avoid traffic congestion caused by the accident is the major part of our decision making algorithm. This module has been implemented and evaluated using the Veins simulation.
Keywords
collision avoidance; control engineering computing; decision making; driver information systems; road traffic; road vehicles; vehicular ad hoc networks; Intelligent vehicles; VANET communication; cooperative collision warning systems; decision making module; driver assistance; driver situation; driving environment; traffic congestion; vehicular ad-hoc networks; veins simulation; wireless communication; Accidents; Ad hoc networks; Alarm systems; Decision making; Roads; Vehicles; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
Conference_Location
The Hague
Type
conf
DOI
10.1109/ITSC.2013.6728481
Filename
6728481
Link To Document