A video technology-based anti-rear-collision early warning method for highway tunnels

Abstract

The invention discloses a video technology-based anti-rear-end warning method for road tunnels, including: installing roadside cameras and electronic display screens; using ST‑MRF vehicle tracking technology to process collected video data to obtain vehicle position information, speed and acceleration / Braking deceleration, acceleration time / braking time; based on the coordinate conversion method of camera calibration, the distance between the front and rear two cars to the center of the lens in the actual traffic scene and the distance on the image plane are converted to each other to calculate the front and rear two cars distance S; establish a theoretical calculation model of the longitudinal safety distance of early warning of rear vehicles, and calculate the longitudinal distance L of early warning of rear vehicles in real time; , to alert the driver. The invention can effectively avoid rear-end collision accidents in tunnels, increase traffic capacity of roads in tunnels, and ensure driving safety in tunnels.

Description

technical field [0001] The invention belongs to the field of traffic engineering information management and control, in particular to a video technology-based anti-rear-end collision warning method for highway tunnels. Background technique [0002] With the continuous development of my country's economy and technology, the national demand for transportation is also increasing. In order to meet people's growing transportation needs, the country has increased investment and construction of transportation infrastructure. As of 2019, the total mileage of my country's highways has reached 4.8465 million kilometers, and the expressway has reached 142,600 kilometers, ranking first in the world. Due to the limitation of topography, improving routes, shortening driving distance, increasing vehicle speed and protecting the environment, the number of highway tunnels is also increasing while the mileage of highways in our country is increasing. According to statistics from relevant dep...

AI Technical Summary

Problems solved by technology

Moreover, the tunnel is a closed space. Once a traffic accident occurs due to insufficient light, it is not only difficult to rescue, but also difficult to divert traffic and easily cause secondary accidents. Therefore, it is imminent to study the early warning model of vehicle rear-end collision prevention to reduce road tunnel accidents.

[0003] At present, most of the research on vehicle rear-end collision prevention and early warning revolves around the use of on-board ultrasonic, radar or laser ranging to measure the relative distance between vehicles or the time to collision (TTC) for early warning. Practice has shown that using ultrasonic, radar or laser The early warning distance of the early warning device is limited, and the early warning distance is limited, which is not suitable for early warning of high-speed vehicles.

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