Data mining model of regional road traffic accidents based on bat algorithm

被引：0
|
作者：
Yang B. [1 ]
机构：
[1] School of Finance and Economics Management, Sichuan University of Arts and Science, Sichuan Province, Dazhou
来源：
Advances in Transportation Studies | 2022年 / 2卷 / Special issue期
关键词：
Accident trace parameters; Bat algorithm; Data mining; Recall; Traffic accident;
D O I：
10.53136/979125994919612
中图分类号：
学科分类号：
摘要：
In order to realize accurate identification of traffic accidents and accurately mine regional road traffic accident data, a data mining model of regional road traffic accidents based on bat algorithm is proposed. According to the braking force of the vehicle on the horizontal road surface when the regional road traffic accident is about to occur, the accident reproduction model is established, the parameters of the traffic accident trace are determined, the data mining model of the regional road traffic accident is constructed, and finally the bat algorithm is used to solve the problem to realize the regional road traffic accident, data mining. The research results show that the mining results of the proposed model on regional road traffic accident data are consistent with the actual number of samples of regional road traffic accident data. Between 99%, the FI value is higher than 0.97, and the recognition time of the model is less than 385ms. The performance of the model in this paper is better than the comparison model, and it has application value. © 2022, Aracne Editrice. All rights reserved.
引用
收藏
页码：113 / 122
页数：9
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