Real-time passenger flow characteristic analysis method and system

Abstract

The invention relates to a real-time passenger flow characteristic analysis method and real-time passenger flow characteristic analysis system. The real-time passenger flow characteristic analysis method comprises the following steps: global positioning system (GPS) / beidou data are obtained at a fixed frequency; the GPS / beidou data are matched to a corresponding network; and a count table is updated. According to the real-time passenger flow characteristic analysis method, the GPS / beidou data are firstly obtained, and then longitude and latitude of a mesh boundary partitioned in advance are contrasted according to longitude and latitude information provided by the GPS / beidou data, the GPS / beidou data are rapidly matched to a mesh with corresponding longitude and latitude information, and time required for matching is greatly reduced. Meanwhile, a dynamic scheduling algorithm is adopted for the step of count table updating, the GPS / beidou data tendencies needing to be processed are reasonably assigned to different computational nodes, and the problem that mass real-time data flows are hard to process is solved. The real-time passenger flow characteristic analysis system is achieved by means of the real-time passenger flow characteristic analysis method, and the purpose of real-time passenger flow characteristic broadcasting can be achieved.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a real-time passenger flow characteristic analysis method and system. Background technique [0002] With the development of society, the number of cars is increasing rapidly, and the intelligent scheduling of traffic resources has become a major issue faced by major cities. Due to the asymmetry of information, some passenger cars (taxis, buses, etc.) have no passengers, and it is difficult for travelers to take the car, resulting in low traffic efficiency and waste of energy. Therefore, there is an urgent need for intelligent transportation technology that can analyze the passenger flow characteristics of passengers by various means. [0003] One of the most important ways to analyze passenger flow characteristics is to obtain the OD (Origin Destination, travel destination) matrix of passenger flow. The traditional OD matrix acquisition method is to first obtain the pas...

AI Technical Summary

Problems solved by technology

The Map / Reduce algorithm of the Hadoop platform, an open source project of Apache, has strong computing capabilities for massive data, but the Hadoop platform can only process historical data, but is powerless for massive real-time data streams

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