DocumentCode :
1796091
Title :
Real time traffic accident detection system using wireless sensor network
Author :
Sherif, Hossam M. ; Shedid, M. Amer ; Senbel, Samah A.
Author_Institution :
Dept. of Inf. Syst., Future Acad., Cairo, Egypt
fYear :
2014
fDate :
11-14 Aug. 2014
Firstpage :
59
Lastpage :
64
Abstract :
Automatic vehicle accident detection is a life-saving application that is vital in today´s high speed motorways. In case of motorway accidents, notification to the proper authorities must be done efficiently and expediently. The main objective of this paper is to create a Real Time Traffic Accident Detection System (RTTADS) using Wireless Sensor Network (WSN) and Radio-Frequency Identification (RFID) Technologies. This paper explains the hardware prototype setup for RTTADS, the algorithms used, the advantages and the limitations of the entire system. Also the configuration of the setup and application software is elaborated. Sensors installed in a vehicle detect the accident´s location, the vehicle´s speed just before the accident and the number of passengers in the vehicle. The sensors then send an alert signal to a monitoring station. The monitoring station, in turn, tracks the location where the accident has occurred and directs casualty alert to the authorities concerned.
Keywords :
radiofrequency identification; road accidents; road safety; road traffic; wireless sensor networks; RFID technology; RTTADS; WSN; alert signal; automatic vehicle accident detection; casualty alert; hardware prototype setup; life-saving application; monitoring station; motorway accident; radiofrequency identification; real time traffic accident detection system; sensors installation; vehicle passenger; wireless sensor network; Accidents; Radio frequency; Radiofrequency identification; Real-time systems; Vehicles; Wireless sensor networks; Radio-Frequency Identification; Real Time Traffic Accident Detection System (RTTADS); Sensor; Wireless Sensor Network (WSN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of
Conference_Location :
Tunis
Type :
conf
DOI :
10.1109/SOCPAR.2014.7007982
Filename :
7007982
Link To Document :
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