Research Article
Research on Traffic Safety Risk Identification of Highway Tunnels Based on Apriori
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334404, author={Mimi Zhang}, title={Research on Traffic Safety Risk Identification of Highway Tunnels Based on Apriori}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={tunnel; association rule mining algorithm; traffic safety risk identification}, doi={10.4108/eai.19-5-2023.2334404} }- Mimi Zhang
Year: 2023
Research on Traffic Safety Risk Identification of Highway Tunnels Based on Apriori
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334404
Abstract
The traffic accident data onto highway tunnels are statistically analyzed. The improved Apriori algorithm is applied to extract the frequent item set and set the support degree threshold. And the association rule sets of different types of traffic accident characteristic attribute are obtained, the main risk sources and correlation relationships affecting the traffic safety of highway tunnels are found out. The technical support and rationalized prevention advice are provided to improve the safety management of highway tunnel operation, strengthen the identification of accident risks in tunnels, and reduce the losses caused by tunnel accidents to traffic efficiency and personal and property safety.
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