Intelligent automobile assistant driving system and method based on real-time wireless communication network

Abstract

The invention discloses an intelligent automobile assistant driving system and method based on a real-time wireless communication network. A CPU (central processing unit) used for control and coordination nodes based on Zigbee wireless communication are set at a road traffic junction position; data processing modules, first memories, speed sensors, GPS (global positioning system) coordination positioning modules, alarms and routers based on the Zigbee wireless communication are arranged on automobiles; a real-time network is established by the coordination nodes so as to realize the sharing of data in the network; any automobile in the network can receive running state information of other automobiles in the network in real time; the data of ambient automobiles are processed and analyzed by the automobile-mounted data processing modules, and with the combination of the change of the self-automobile running state, the alarm judgment is carried out, and the alarm is started when the alarm is judged to be required to be given out. The intelligent automobile assistant driving system and method based on the real-time wireless communication network are easy to implement, high in practical applicability, low in manufacturing cost, high in security and good in real-time capability.

Description

technical field [0001] The invention relates to an automobile intelligent auxiliary driving system and method based on a real-time wireless communication network. Background technique [0002] Cars are the most commonly used, most common and most convenient means of travel in today's society. There are a huge number of cars in all countries in the world, and the traffic accident rate is very high. According to statistics, about 1.2 million people die in car traffic accidents every year in the world, and as many as 5,000 people are injured. million people. According to the report of the World Health Organization, among many daily accidents, automobile traffic accident injuries are the most dangerous. The death toll of traffic accidents in my country ranks first in the world for more than ten consecutive years. In 2009, there were 238,351 road traffic accidents across the country, resulting in 67,759 deaths, 275,125 injuries, and a direct property loss of 910 million yuan. O...

AI Technical Summary

Problems solved by technology

In 2009, there were 238,351 road traffic accidents across the country, resulting in 67,759 deaths, 275,125 injuries, and a direct property loss of 910 million yuan. On average, nearly 200 people were killed in traffic accidents every day. Frequent traffic accidents are causing huge losses of life and property. At the same time, it seriously affects the transportation efficiency of the road

[0006] 1. At present, more popular car safety measures, such as car anti-lock braking system (ABS), drive anti-slip control system (ASR), electronic brake force distribution system (EBD), car dynamic control system (ESP), adaptive cruise control The system (ACC) and so on are all remedial measures after the danger occurs, and do not play a role in preventing danger, that is, a passive protective measure, and this series of systems are complex in structure and high in cost

[0007] 2. Most of the current vehicle safety research is still at the level of a single vehicle as the research object. However, accidents occur between two or more vehicles, so the existing vehicle safety technology does not have a macroscopic features

That is, it is impossible to make decisions for all objects when the danger occurs

[0008] 3. The current communication technology does not have a special technology suitable for real-time communication between vehicles in motion, which is a big bottleneck for data sharing between vehicles

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