Fourth International Conference on Software Engineering Research, Management and Applications (SERA'06) A Traffic Accident Detection Model using Metadata Registry Seattle, Washington August 09-August 11 ISBN: 0-7695-2656-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SERA.2006.8
In this research, we suggested a traffic accident detection model and installed a system for automatically detecting, recording, and reporting traffic accidents at intersections. A system with these properties would be beneficial in determining the cause of accidents and the features of the intersection that impact safety. Additionally, we suggested and designed the metadata registry for the system to improve the interoperability. In a field test, the suggested model achieved a False Alarm Rate (FAR) of 0.34?10-6 percent. Considering that a California #7a algorithm (expressway incident detection algorithm) showed a FAR of 0.08~0.34 percent, our result is a remarkable achievement.
Citation:
Yong-Kul Ki, Jin-Woo Kim, Doo-Kwon Baik, "A Traffic Accident Detection Model using Metadata Registry," sera, pp.255-259, Fourth International Conference on Software Engineering Research, Management and Applications (SERA'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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