Traffic navigation system and method based on big data

Abstract

The invention discloses a traffic navigation system and method based on big data. The system comprises a traffic flow information acquisition module, a traffic flow analysis module, a navigation path planning module and a navigation terminal, wherein the traffic flow information acquisition module acquires traffic flow information and transmits the traffic flow information to the traffic flow analysis module; the traffic flow analysis module analyzes real-time traffic flow data, generates real-time jam state information of a whole road network, analyzes historical traffic flow data and vehicle travel plans, and generates and predicts future jam state information; the navigation path planning module receives the vehicle travel plans and vehicle information uploaded by the navigation terminal, and transmits the vehicle travel plans to the traffic flow analysis module; the navigation path planning module obtains the real-time jam state information of the whole road network and the future jam state information generated by the traffic flow analysis module, and plans a travel path for a travel vehicle in combination with the vehicle information; and the navigation terminal shows the planned travel path to a user for selection, and performs voice navigation according to a path selected by the user.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a traffic navigation system and method based on big data. Background technique [0002] Big data (big data, mega data) refers to massive, high-growth and diverse information assets that require new processing models to have stronger decision-making power, insight and process optimization capabilities. "Big data" is a large data set collected from many sources in multiple forms, often in real time. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and a distributed computing architecture must be adopted. Its characteristic lies in the mining of massive data, but it must rely on cloud computing's distributed processing, distributed database, cloud storage and / or virtualization technology. [0003] With the development of the city, the urban co...

AI Technical Summary

Problems solved by technology

This method can effectively avoid roads with problems such as road maintenance closures, traffic control or traffic accidents, but it is not very effective for road congestion problems, because sometimes there is no congestion when querying, but it may become very congested after a period of time , which also affects the navigation efficiency

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