Personalized driving habit learning system based on environmental information and vehicle movement

Abstract

The invention discloses a personalized driving habit learning system based on environmental information and vehicle movement. The personalized driving habit learning system includes a driving operation information acquisition module for collecting driving operation information and vehicle motion information of a driver, a traffic environment information acquisition module for collecting surrounding traffic environment information when a vehicle is driven, a meteorological data acquisition system for collecting meteorological information and identifying real-time weather conditions, a rule judgment module for judging whether a current driving habit is a high risky driving behavior or not and determining whether a personalized driving habit learning module is triggered or not according to ajudging result, and a personalized driving habit learning module used for learning a personalized driving habit, namely learning a driving habit under a non-high risky driving behavior under differenttraffic environments and meteorological environments; and the meteorological information includes temperature, humidity and rainfall. By means of the system, the requirements for safety and driver individuality can be simultaneously met, and the system is beneficial to personalized assisting decision making, application and promotion of smart vehicles.

Description

technical field [0001] The invention relates to smart car technology, in particular to a personalized driving habit learning system based on environmental information and vehicle motion. Background technique [0002] Because environmental factors can affect people's mental state and driving decisions, drivers' driving habits in different environments are different. In a non-high-risk driving environment, drivers tend to choose the most appropriate driving habits to control vehicle motion. [0003] In the field of traditional automobiles, the relationship between people and cars is not a simple relationship between service and service, but the relationship between the decision-making controller and the executor. The direction and speed of the car need to be controlled by the driver. With the continuous development of smart car driving technology, drivers are also pursuing a higher level of experience, paying more attention to the relationship between cars and people, that is...

AI Technical Summary

Problems solved by technology

Existing products cannot customize different driving schemes according to external traffic and weather conditions, and cannot meet the individual needs of car owners, which will reduce the actual application rate of smart cars and their autonomous driving technologies

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