TY - GEN
T1 - Highway vehicle accident reconstruction using cooperative collision warning based motor vehicle event data recorder
AU - Young, Chung Ping
AU - Chang, Bao Rong
AU - Wei, Ting Ying
PY - 2009
Y1 - 2009
N2 - There is often uncertainty or negligence in measurements and calculations by collecting relevant evidence and site information at the scene for the conventional vehicle accident analysis and reconstruction. Cooperative Collision Warning (CCW) mechanism exchanging static and dynamic vehicle information with neighboring vehicles through inter-vehicle wireless communications provides an active safety mechanism for vehicles on highways. Received information is not only used for calculating the relative safety distance between neighboring vehicles, but also preserved in a Motor Vehicle Event Data Recorder (MVEDR) for future accident reconstruction. A CCW-based MVEDR can easily rebuild the trajectory and interaction between the host and neighboring vehicles within communication range. This device is a supplementary tool for conventional accident reconstruction, and it saves time, labor and cost required for investigations, and eliminates uncertainty regarding accident analysis.
AB - There is often uncertainty or negligence in measurements and calculations by collecting relevant evidence and site information at the scene for the conventional vehicle accident analysis and reconstruction. Cooperative Collision Warning (CCW) mechanism exchanging static and dynamic vehicle information with neighboring vehicles through inter-vehicle wireless communications provides an active safety mechanism for vehicles on highways. Received information is not only used for calculating the relative safety distance between neighboring vehicles, but also preserved in a Motor Vehicle Event Data Recorder (MVEDR) for future accident reconstruction. A CCW-based MVEDR can easily rebuild the trajectory and interaction between the host and neighboring vehicles within communication range. This device is a supplementary tool for conventional accident reconstruction, and it saves time, labor and cost required for investigations, and eliminates uncertainty regarding accident analysis.
UR - http://www.scopus.com/inward/record.url?scp=70449580853&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449580853&partnerID=8YFLogxK
U2 - 10.1109/IVS.2009.5164441
DO - 10.1109/IVS.2009.5164441
M3 - Conference contribution
AN - SCOPUS:70449580853
SN - 9781424435043
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1131
EP - 1136
BT - 2009 IEEE Intelligent Vehicles Symposium
T2 - 2009 IEEE Intelligent Vehicles Symposium
Y2 - 3 June 2009 through 5 June 2009
ER -