Vehicle driving information spatiotemporal index and big data analysis method

Abstract

The invention discloses a vehicle driving information spatiotemporal index and big data analysis method, and belongs to the technical field of intelligent traffic. The method comprises the five stepsof collecting data; preprocessing the data; establishing a spatiotemporal database; performing index query; and performing big data analysis. A system stores the data in a vector form, has the advantages of massive storage in content, dynamic expansion in application and random embedding in propagation, and meets a propagation demand of realizing man-machine interaction. The potential of existingcameras can be mined; effective and reliable detection and tracking of vehicles on roads can be effectively ensured; the labor intensity of related working personnel can be reduced; a large amount oftime is saved; and the method can be used in the fields of road traffic management, safety protection and the like.

Description

technical field

[0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a space-time index of vehicle driving information and a big data analysis method. Background technique

[0002] At present, my country's highway traffic is developing rapidly, and the number of cars is increasing. Intelligent Transport System (Intelligent Transport System, ITS) is an effective way to solve the problems caused by the rapid development of traffic. It effectively integrates advanced information technology, communication technology, sensor technology, control technology and computer technology for the entire traffic management The system, which enables people, vehicles and roads to coordinate harmoniously and closely, has been highly valued by various countries and has developed rapidly. However, with the development of the transportation industry and the increase of traffic volume, traffic security videos in traditional highway traffi...

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