Intelligent navigator and realization method for path navigation thereof

Abstract

The invention discloses a realization method for path navigation of an intelligent navigator. The realization method comprises the following steps that: (1), a navigation data transmission module sends vehicle driving data to a navigation data storage module at fixed time; (2), a navigation data analyzing module carries out statistics on driving data of a single vehicle and establishes a social map and a vehicle driving habit record; (3), the navigation data analyzing module analyzes driving data of multiple vehicles at all road sections and establishes an average speed oscillograph of all the road sections, and a road condition report and a trend report are formed by using a second exponential smoothing method; (4), the navigation data analyzing module matches the vehicle driving data with the driving habit record and predicts a vehicle driving destination and a driving route; and (5), according to the road condition report and the trend report, the navigation data analyzing module predicts real-time road condition information and real-time path recommendation information, and sends the information to the navigation data transmission module. According to the invention, characteristics of high practicability, high real-time performance and large information content and the like; and the real-time performance and the personalized service capability of the intelligent navigator are improved.

Description

technical field [0001] The invention relates to an intelligent navigator and a method for implementing path navigation thereof. The real-time path recommendation of the intelligent navigator is realized based on big data technology, data mining technology, and statistical methods, and belongs to the field of big data data mining. Background technique [0002] The car navigation system is the crystallization of modern multi-disciplinary high-tech, which integrates the achievements of high-tech such as GPS navigation satellite and target positioning technology, GIS digital electronic map technology, urban intelligent traffic management technology, and mobile communication. GPS navigation can obtain the spatial position coordinate data of any receiving point, and can also be used for time measurement and speed measurement, providing extremely important real-time, dynamic and accurate acquisition of spatial data for GIS. GIS can be used as a spatial data processing, integration ...

AI Technical Summary

Problems solved by technology

[0003] However, the current car navigators in the market basically use a route planning strategy based on static maps to determine travel routes according to people's needs, and cannot perform route planning based on real-time road conditions; road condition information can only be obtained through traffic information channels or broadcasts or road signs. It cannot be obtained actively in real time; electronic maps also face many problems, such as inconsistent industry standards, long map update cycles, and failure to keep up with road changes; and the navigator will not consider possible traffic jams, road blockades, traffic Accidents and other road conditions, practicality needs to be improved

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