Traffic Conflict Identification Technology of Vehicle Intersection Based on Vehicle Video Trajectory Extraction

被引：11

作者：

Li Meng ^{[1
]}

Wang Xiao Han ^{[1
]}

Shi Ke ^{[1
]}

机构：

[1] Southeast Univ, Nanjing 211189, Jiangsu, Peoples R China

来源：

8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017) | 2017年 / 109卷

关键词：

traffic conflict; TTC value; OPENCV software; road safety evaluation;

D O I：

10.1016/j.procs.2017.05.454

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We do the establishment of the ground coordinate system by OPENCV software to obtain the actual coordinates, which is converted to vehicle coordinates in every pixel to get the parameters such as location and speed. MFC platform software which we exploited can directly output vehicle trajectory, speed and traffic conflict corresponding to the TTC time. There are different levels of colour marked in the map of the conflict distribution points. We use the cumulative frequency curve method to deal with the collected conflict samples, getting the TTC value which is used to define serious conflict and non-serious conflict. At the same time, we joined the car-following conflict, enriching our research content. (c) 2017 The Authors. Published by Elsevier B.V.

引用

页码：963 / 968

页数：6

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