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

Meng Li | Zendy; WANG Xiao Han | Zendy; Ke Shi | Zendy

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

Author(s) -

Meng Li,

WANG Xiao Han,

Ke Shi

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.454

Subject(s) - intersection (aeronautics) , computer science , trajectory , software , identification (biology) , pixel , computer vision , artificial intelligence , real time computing , transport engineering , physics , astronomy , engineering , biology , programming language , botany

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.

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