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14 February 2024 Comparative analysis of motor and non-motor vehicle accidents factors at day and night using association rules
Jianghui Chen, Jinghua Xu, Taizhou Wang
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Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130183S (2024) https://doi.org/10.1117/12.3024030
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In order to investigate the differences in causes of motor vehicle and non-motor vehicle accidents between day and night, reduce the losses caused by accidents, and establish the Ant Colony Algorithm (ACA) to mine the association rules between different severity levels of motor-nonmotor traffic accidents and various factors. Firstly, the association rule generation will be transformed into the Traveling Salesman Problem, and then the Ant Colony Algorithm will be utilized for solving it, aiming to enhance the quality of the rules. Secondly, directional constraints will be applied to the rules to reduce the generation of redundant rules. Lastly, an analysis was conducted on 2178 motor-nonmotor accident data. The results indicate that the proposed ACA algorithm can significantly reduce the number of invalid rules and accurately identify the correlation between potential accident factors and severity levels. Compared to daytime, there is a greater tendency for higher severity level accidents to occur at night due to environmental and non-motor vehicle driver factors. Furthermore, there are significant differences in the correlation between factors such as rain, fog, snow, driver alcohol consumption, and speeding, with the severity of accidents occurring during the night and daytime.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jianghui Chen, Jinghua Xu, and Taizhou Wang "Comparative analysis of motor and non-motor vehicle accidents factors at day and night using association rules", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130183S (14 February 2024); https://doi.org/10.1117/12.3024030
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KEYWORDS
Roads
Rain
Analytical research
Bubbles
Particle swarm optimization
Safety
Transportation
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