A stream monitoring and analysis early warning system and method for vehicles based on fog computing

Abstract

The invention belongs to the technical field of intelligent transportation, and provides a streaming monitoring analysis pre-warming system and method specific to vehicles based on fog calculation. The streaming monitoring analysis pre-warming method comprises the steps that state data of all vehicles is collected specific to the vehicles in travelling and uploaded to a distributed message queue module on fog equipment, according to the real-time data, real-time traffic information and driver behavior models are obtained by using a big data analysis method, the situations that present driver behaviors are abnormal and whether retrograde motion of the vehicles occurs or not are discovered in time, and the traffic information and the driver behavior models are stored in a local storage module and meanwhile transmitted to a history data storage module in a cloud calculation center; in addition, the vehicle position and the driver behaviors of future period of time are forecasted, and advanced warning of traffic accidents possibly occur in the future is facilitated. According to the streaming monitoring analysis pre-warming system and method specific to the vehicles based on the fog calculation, the defects that time delay is long, load of calculation center is heavy, network flow is large and network congestion is prone to occurring of a traditional vehicle safety monitoring system are overcome, and the safety of road traffic is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and is mainly applied to improving the safety of vehicles and people on board through real-time monitoring of running vehicles, and specifically relates to a flow monitoring, analysis and early warning system and method for vehicles based on fog computing. Background technique [0002] As an important means of transportation for road transportation, vehicles are becoming more and more popular with social progress and economic development. At the same time, the rapid growth of car ownership has also brought new social problems, such as frequent traffic accidents and road congestion caused by accidents, which seriously threaten the safety of human life and property. The continuous progress of science and technology and industrial level has made the vehicle faster, the acceleration time is shorter, and the environment inside the vehicle is more comfortable; however, during the dri...

AI Technical Summary

Problems solved by technology

However, the existing monitoring solutions have the following disadvantages: First, the data analysis function is placed on the remote server, and all vehicles communicate with the remote server through the public network. On the one hand, the delay of the message is large, and the real-time performance is greatly reduced; Large, it may cause network congestion in places with dense vehicles; secondly, the remote server has a large computing load and the real-time performance is not high; finally, the reverse driving of vehicles is a common driving behavior that easily leads to traffic accidents, but existing detection The system has no detection for this abnormal behavior

Images