A traffic information extraction and query method based on big data technology

Abstract

The invention provides a traffic information extraction and inquiry method based on a big data technology in order to solve the problems of insufficient real-time property, universality and practicability of acquired traffic information by using existing real-time traffic information extraction and inquiry methods. The traffic information extraction and inquiry method provided by the invention comprises the following steps: establishing and dynamically updating data dictionaries by adopting data uploaded by all the online vehicles, and inquiring historic changes of road network traffic conditions, real-time changes of the road network traffic conditions and traffic habits of online vehicles, wherein the data dictionaries include a vehicle data dictionary, a road section data dictionary and a path data dictionary, and the online vehicles refer to vehicles that are logged into a network and automatically upload positioning and speed data. The traffic information extraction and inquiry method based on the big data technology has the beneficial technical effects that the method has relatively broad universality, can be used for acquiring the road network traffic conditions in real time and acquiring the traffic habits of set users and has relatively high real-time property, universality and practicability.

Description

technical field [0001] The invention relates to real-time traffic information extraction and query technology, in particular to a traffic information query method based on big data technology. Background technique [0002] The existing real-time traffic information extraction and query methods usually use the traffic data provided by floating vehicles or roadside equipment, or even rely only on the traffic data provided by roadside equipment to obtain real-time traffic information of the road network or bicycles. This type of method mainly obtains traffic information such as road network flow and average speed directly through roadside equipment, or obtains certain types of traffic information through secondary processing of data collected by floating vehicles. Due to the representativeness and real-time nature of data, etc., The real-time, versatility and practicality of the traffic information obtained are insufficient. As far as real-time performance is concerned, the ex...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems existing in the existing real-time traffic information extraction and query methods, such as the lack of real-time performance, versatility and practicality of the acquired traffic information, the present invention proposes a traffic information extraction and query method based on big data technology

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