Highway tunnel rear-end collision prevention early warning method based on video technology

Abstract

The invention discloses a highway tunnel rear-end collision prevention early warning method based on a video technology. The method comprises the steps of installing a roadside camera and an electronic display screen; processing acquired video data by adopting an ST-MRF vehicle tracking technology to obtain vehicle position information and a speed, acceleration / braking deceleration and acceleration time / braking time; based on a camera calibration coordinate conversion method, performing mutual conversion on distances from front and rear vehicles to a lens center point in an actual traffic scene and the distance on an image plane to calculate the distance S between the front and rear vehicles; establishing a theoretical calculation model of an early-warning longitudinal safety distance of the rear vehicle, and calculating the early-warning longitudinal distance L of the rear vehicle in real time; and if the distance S between the front vehicle and the rear vehicle is less than the earlywarning longitudinal safety distance L of the rear vehicle, displaying early warning information on an electronic display screen to remind a driver. In the invention, occurrence of tunnel rear-end collision accidents can be effectively avoided, a traffic capacity of roads in a tunnel is increased, and tunnel driving safety is ensured.

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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