Identification algorithm of accident road section attribute based on OBD data map matching

Xingqiang Zhang; Huihui Li; Xue Liu

doi:10.1117/12.3008712

27 October 2023 Identification algorithm of accident road section attribute based on OBD data map matching

Xingqiang Zhang, Huihui Li, Xue Liu

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129222V (2023) https://doi.org/10.1117/12.3008712
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

Traffic accident not only causes casualties, but also generates traffic congestion, resulting in severe traffic delays and other indirect economic losses. Based on the accurate identification of accident road section attribute, considering the accidental traffic impact is very important to improve the comprehensiveness and accuracy of road location safety evaluation. In this paper, OBD data is used to map matching, the fuzzy clustering algorithm is used to discriminate and classify the road traffic operation status. A kind of identification algorithm of the accident road section traffic attribute impact is proposed, which is used as case analysis of Beijing Fourth Ring Road. The analysis results show that the accident occupying lane is the most important factor of traffic delay, the more lanes are occupied, the more vehicles of single lane are delayed and the delay time is longer.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingqiang Zhang, Huihui Li, and Xue Liu "Identification algorithm of accident road section attribute based on OBD data map matching", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129222V (27 October 2023); https://doi.org/10.1117/12.3008712

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