Hierarchical probabilistic network-based system for traffic accident detection at intersections

Ju Won Hwang, Young Seol Lee, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Every year, traffic congestion and traffic accidents have been rapidly increasing in proportion to increasing number of vehicles. Although the roadway design and signal system have been improved to relieve traffic congestion, traffic casualties and property damage do not decrease. The traffic accident is a serious issue of society because vehicle is a primary means of transportation. This paper develops a real-time traffic accident detection system (RTADS): This system helps us to cope with accidents and discover the causes of traffic accident by detecting the accident. We gathered video data recorded at several intersections and used them to detect accidents at different intersections which have different traffic flow and intersection design. However, because the data gathered from intersections have incompleteness, uncertainty and complicated causal dependency between them, we construct probability-based networks which calculate based on the probability for correct accident detection. This system instantly sends the detected result to managers using accident alarm system. RTADS features real time accident detection and analysis of the cause of accidents. In performance evaluation, the proposed system achieved a detection rate of 97% with a correct detection rate of 92% and a false alarm rate of 0.77%.

Original languageEnglish
Title of host publicationProceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010
Pages211-216
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
EventSymposia and Workshops Held in Conjunction with the 7th International Conference on Ubiquitous Intelligence and Computing, UIC 2010 and the 7th International Conference on Autonomic and Trusted Computing, ATC 2010 - Xi'an, China
Duration: 2010 Oct 262010 Oct 29

Publication series

NameProceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010

Other

OtherSymposia and Workshops Held in Conjunction with the 7th International Conference on Ubiquitous Intelligence and Computing, UIC 2010 and the 7th International Conference on Autonomic and Trusted Computing, ATC 2010
CountryChina
CityXi'an
Period10/10/2610/10/29

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All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Software

Cite this

Hwang, J. W., Lee, Y. S., & Cho, S. B. (2010). Hierarchical probabilistic network-based system for traffic accident detection at intersections. In Proceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010 (pp. 211-216). [5667196] (Proceedings - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences, UIC-ATC 2010). https://doi.org/10.1109/UIC-ATC.2010.27