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A Traffic Accident Detection and Analysis System at Intersections using Probability-based Hierarchical Network  

Hwang, Ju-Won (연세대학교 컴퓨터과학과)
Lee, Young-Seol (연세대학교 컴퓨터과학과)
Cho, Sung-Bae (연세대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.10, 2010 , pp. 995-999 More about this Journal
Abstract
Every year, traffic accidents and traffic congestion have been rapidly increasing, Although the roadway design and signal system have been improved to relieve traffic accidents, traffic casualties and property damage do not decrease. This paper develops a real-time traffic accident detection and analysis system (RTADAS): In the proposed system, we aim to precisely detect traffic accidents at different design and flow of intersections, However, because the data collected from intersections have uncertainty and complicated causal dependency between them, we construct probability-based networks for correct accident detection.
Keywords
Traffic Accidents at Intersections; Real-Time Traffic Accident Detection System(RTADAS); Dynamic Bayesian Networks;
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