LSTM Road Traffic Accident Prediction Model Based on Attention Mechanism

被引：0
|
作者：
Wang, Shunshun [1 ]
Yan, Changshun [1 ]
Shao, Yong [1 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
来源：
2023 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYTICS, ICCCBDA | 2023年
关键词：
traffic accident; attention; LSTM;
D O I：
10.1109/ICCCBDA56900.2023.10154750
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper builds a time series combination forecasting model, which establishes a mapping relationship between the traffic accident data at the current moment, the weather data at historical moments and traffic accident data. This model is used to analyze and model the road data set and weather data set in Greater London, England from 2000 to 2019, to predict a number of indicators of road traffic accidents, and to explore the applicability of this model among different cities.The overall effect of the model proposed in this paper is better, which has important practical significance for improving the level of road traffic management.
引用
收藏
页码：215 / 219
页数：5
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