Method for judging and processing vehicle accidents in tunnel based on urban perception microgrid

Abstract

The invention discloses a method for judging and processing vehicle accidents in a tunnel based on an urban perception microgrid. The judgment method comprises the following steps that a first microgrid node is arranged on a tunnel wall; a second microgrid node is arranged in the vehicle; whether the vehicle is in a stop or slow running abnormal state or not is determined through information transmission between the two, whether the vehicle is in an accident state or not is further judged through acceleration information of the vehicle or whether communication can be established or not, point-to-point communication connection is utilized, and the detection and judgment efficiency is greatly improved. In addition, according to the corresponding processing method, after it is determined thatthe vehicle has an accident, a rescue instruction can be sent to the medical rescue microgrid node and the traffic rescue microgrid node through the cloud server, meanwhile, the specific position ofthe accident vehicle is sent, and medical rescue and traffic management are facilitated.

Description

technical field [0001] The invention relates to the technical field of traffic processing, in particular to a vehicle accident judgment and processing method in a tunnel based on a city-aware micro-network. Background technique [0002] Highway tunnels are a special situation in the driving environment of cars. In tunnels, wireless communication signals and GPS signals are weak. When vehicles in the tunnel collide with accidents, it is difficult to actively send notifications to the outside world, resulting in delays in rescue, and it is impossible to Quickly determine where the accident occurred. At present, the detection of tunnel accidents is mainly through video surveillance. This method has many disadvantages. For example, the image analysis of the monitoring system takes a long time, and when the traffic flow is large, the workload is heavy and the false detection rate is high. Contents of the invention [0003] The purpose of the present invention is to overcome th...

AI Technical Summary

Problems solved by technology

[0002] Highway tunnel is a special situation in the driving environment of cars. In the tunnel, the wireless communication signal and GPS signal are weak. When a vehicle in the tunnel collides with an accident, it is difficult to actively send a notification to the outside world, resulting in delays in rescue, and it is impossible to Quickly determine the location of the accident

At present, the detection of tunnel accidents is mainly through video surveillance. This method has many disadvantages. For example, the image analysis of the monitoring system takes a long time, and when the traffic flow is large, the workload is heavy and the false detection rate is high.