A New Positioning System for Traffic Accident Scene Investigation Integrated with RFID and WSN

2014 ◽  
Vol 602-605 ◽  
pp. 2495-2499
Author(s):  
Hong Song ◽  
Jun Tang ◽  
Jian Xiong Ming ◽  
Wei Jian Duan ◽  
Zhi Yong Yin

In traffic accident scene investigation, the traditional measuring and positioning methods cannot meet current requirement for efficiency and effectiveness. Which means the Investigators need use tape to measure the distance between accident factors and reference points, and then mark the corresponding elements -- dots, straight lines, curves, closed curves and so on - on the diagram for traffic accident scene investigation. A new radio location system integrated with RFID and WSN has been established to solve the problem. The function of RFID is to clearly mark the ID, attribute and affiliation; WSN to acquire locations of factors from the sensors; ZIGBEE to transmit the combined data (RFID and WSN data) to computers through networks. Using special software to automatically processing the received data for a visualized location map, including the following processes of A) locating survey marks with the geometric algorithm. B) Defining the types of survey marks, such as isolated points, line end points, curve end points, intermediate points etc. C) Classifying the survey marks, such as front wheels, rear wheels, skid marks, body locations, position of fallout etc.

2011 ◽  
Vol 255-260 ◽  
pp. 4090-4094
Author(s):  
Lei Zhang ◽  
Wen Hu Qin ◽  
Tie Jun He ◽  
Wei Nong Li

Investigation at scene is the key issue to Scene Traffic Accident Reconstruction(TAR). Although the photogrammetry technique is widely applied in China due to its convenience and lower cost, it can only provide the final state of the traffic accidents. In this paper, a novel method based on the time difference of arrival (TDOA) technique was proposed to monitor the location of the vehicles passing the accident-prone section on the highway. The methodology of application of TDOA to the Traffic accident scene investigation was proposed, and the arrangement of sensors on the accident-prone sections of the selected freeway is discussed. Based on the coordinates collected by TDOA receivers, real-time position of the each vehicle moving on the accident-prone section could be extracted respectively and when the accidents happen, the traces of the vehicles involved would be obtained. It could be concluded that this method is important supplement to photogrammetry technique during accident scene investigation and could make the forensic judgment of accident responsibility more accurate.


2016 ◽  
Vol 134 ◽  
pp. 89-94 ◽  
Author(s):  
Vidas Žuraulis ◽  
Loreta Levulytė ◽  
Edgar Sokolovskij

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