Intelligent vehicle personalized driving learning system based on smartphone

Abstract

The invention discloses an intelligent vehicle personalized driving learning system based on a smartphone. The intelligent vehicle personalized driving learning system based on the smartphone comprises an information collection module, a data pre-processing module, a mode identifying module, a statistical analysis module, a model establishing module and a data matching module, wherein the information collection module is used for collecting information by using the smartphone after an automobile owner obtains an artificial intelligence automobile; the data pre-processing module is used for combining collected data into a new data set; the mode identifying module is used for dividing the data collected by the smartphone into seven modes according to daily trip; the statistical analysis module is used for carrying out statistical analysis on the data in different modes; the model establishing module is used for establishing a user driving characteristic model; the data matching module isused for initializing driving characteristics of the trip of the intelligence automobile on the basis of a pre-established user driving behavior characteristic template library; and in the trip process, the user driving characteristic model is directly matched online in real time in different models so that the intelligence automobile trip has personalized driving characteristic of the automobileowner and the personalized demand of the automobile owner is met. According to the intelligent vehicle personalized driving learning system based on the smartphone, the personalized driving of the intelligence automobile is realized by using the smartphone so that the personalized experience of a user is improved.

Description

technical field [0001] The invention relates to intelligent traffic technology, in particular to a smart phone-based personalized driving learning system for smart cars. Background technique [0002] 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 increased year by year. According to the data released by the Traffic Management Bureau of the Ministry of Public Security, as of the end of 2015, the number of motor vehicles in my country reached 279 million, including 172 million cars, and the number of motor vehicle drivers exceeded 320 million, including more than 280 million car drivers. There were 26.13 million drivers with less than one year of driving experience, accounting for 11.04% of the total. The problems of traffic jams, traffic accidents and traffic pollution are becoming more and more prominent. In this context, unmanned driving technology, as a ...

AI Technical Summary

Problems solved by technology

[0003] Judging from the current research on unmanned driving, it is not difficult to find that while pursuing safety and efficiency, unmanned vehicles abandon personalized operations, which will undoubtedly affect the experience of unmanned vehicles

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