Driving behavior decision system of automatic driving public traffic vehicle

Abstract

The present invention discloses a driving behavior decision system of an automatic driving public traffic vehicle. The system comprises an external environment perception module, an information fusion processing module, a driving scene determination module and a driving behavior decision module. The external environment perception module comprises a vision sensor, a laser radar, a millimeter wave radar, a GPS location module and a high-precision map. The driving behavior decision module employs a limitation state machine model, and the driving behavior decision module employs a driving behavior determination decision model based on an ID3 decision tree; and the information fusion processing module performs fusion processing of the environment information sent by an external environment perception module and sends the information after fusion processing to the driving scene determination module and the driving behavior decision module. The driving behavior decision system of the automatic driving public traffic vehicle can improve the driving safety of the automatic driving public traffic vehicle and effectively reduce the probability of traffic accidents.

Description

technical field [0001] The invention relates to the field of transportation, in particular to a driving behavior decision-making system for an automatic driving public vehicle. Background technique [0002] With the increasing rate of traffic accidents in the world, the problems of traffic safety and traffic congestion are becoming more and more serious. According to relevant statistics, road traffic accidents cause about 1.3 million direct deaths and about 35 million injuries in the world every year, causing direct economic losses of hundreds of billions of dollars. Among them, my country is particularly serious. On average, more than 200,000 road traffic accidents occur every year, and the death toll is about 70,000. In other words, nearly 200 people die in road traffic accidents every day. In addition, with the rapid development of social economy and the continuous improvement of people's living standards in recent years, the number of automobiles in my country has incre...

AI Technical Summary

Problems solved by technology

As one of the three key issues, research on behavioral decision-making, especially the research on bionic cognitive decision-making ability in complex dynamic environments, is less

The reason is that in the actual urban road environment, what autonomous driving vehicles perceive and acquire is complex dynamic information that changes rapidly, the characteristics of complex, random and uncertain changes in traffic elements, and the real-time, robustness, and Environmental adaptability and other requirements, the behavior decision-making of autonomous vehicles in complex and dynamic urban environments is facing huge challenges

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