Driver lane-changing behavior analysis method based on aerial photography video vehicle trajectory

Abstract

The invention discloses a driver lane-changing behavior analysis method based on an aerial photography video vehicle trajectory. Based on the image tracking technique, the movement video data of a vehicle, collected by the aerial photography of an unmanned aerial vehicle, are extracted and processed. After that, through the data fitting, the mapping and the conversion of coordinate systems, a corresponding movement track graph, a displacement space-time diagram in the direction of lanes and a lane deviation fluctuation diagram perpendicular to the direction of lanes are obtained. According tothe invention, a vehicle trajectory processing and conversion method is provided by the invention. By the method, vehicle trajectories in a video can be efficiently, conveniently and accurately extracted and processed. The method has important significance on the research and the development of trajectory analysis-based relevant traffic phenomena and driver characteristics.

Description

technical field [0001] The invention relates to the research and analysis of traffic phenomena and the application of advanced computer technology. Aiming at common phenomena such as congestion, queuing and traffic accidents caused by frequent vehicle lane changes on expressways, an image tracking and extraction technology based on aerial video is proposed to process vehicle trajectories. Data to use the data to conduct research on traffic phenomena and drivers' lane-changing behavior. Background technique [0002] As the problem of urban traffic congestion has become increasingly prominent, many scholars have noticed the impact of vehicle lane change behavior on traffic operations and linked it to traffic congestion. When the traffic volume is small, the lane change can separate the high-speed vehicles from the low-speed vehicles, the driver can obtain the expected space and speed through the lane change, and can improve the road utilization rate and increase the traffic ca...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies in the existing trajectory acquisition technology and analysis method, the present invention provides a driver lane-changing behavior analysis method based on aerial video vehicle trajectory, which solves the problem of vehicle trajectory extraction and There are limitations and difficulties in processing and analysis, which simplifies the process of trajectory data processing and analysis, improves the research efficiency of traffic flow-related phenomena, and provides a method based on the analysis of vehicle trajectories to study traffic phenomena and driver characteristics.

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