Real-time traffic accident detection based on the derivative of traffic parameters

被引：0
|
作者：
Li, Yong [1 ]
Ou, Liyun [2 ]
You, Jinmin [3 ]
Li, Na [2 ]
Zheng, Xiong [2 ]
机构：
[1] Fuzhou Univ, Coll Software, Coll Comp & Data Sci, Publ Secur Dept,Fujian Police Coll, Fuzhou, Peoples R China
[2] Fujian Police Coll, Publ Secur Dept, Fuzhou, Peoples R China
[3] Traff Police Detachment Fuzhou Publ Secur Bur, Command Ctr, Fuzhou, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
Derivation of traffic parameters; traffic accident; real-time detection; temporal properties;
D O I：
10.1109/CCDC58219.2023.10327413
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper focuses on the study of the derivative of traffic parameters for detecting traffic accidents in real time. The temporal properties of both the traffic flow and the vehicle speed are analyzed per day in May. It is found that the falling and rising of both the traffic flow and the vehicle speed have a relationship with the traffic accident happening on the urban road. Then, the traffic accident on the urban road can be detected in real time by the shape variation of falling and rising rapidly over time, namely, their derivatives. Through surveillance video and traffic accident records from the Traffic Police Detachment of Fuzhou Public Security Bureau (TDFPSB), the method based on the derivatives of both traffic flow and vehicle speed is verified to identify the traffic accident from traffic congestion.
引用
收藏
页码：1470 / 1473
页数：4
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