Method and system for constructing public transport od matrix

Abstract

The invention discloses a method for establishing a public transit OD matrix, which is characterized by being based on a cloud computing platform. The method comprises the steps of screening out original public transit data, which conforms to predetermined OD matrix establishment requirements, from public transit data; carrying out preprocessing on the original public transit data in a concurrent mode according to data processing rules; extracting get-on information of each passenger according to the processed data, and analyzing a card swiping record of each passenger; if a bi-directional card swiping record exists, acquiring passenger get-off information of by using a method of estimating a passenger get-off station by analyzing passenger travel behavior rules to acquire the passenger get-off information; if the bi-directional card swiping record does not exist, acquiring the number of transferred people between stations by using a method of estimating the number of get-off people at a station by predicating the station heat degree; and establishing an OD matrix according to the get-on information and the get-off information of the passengers, the number of transferred people between stations and an OD matrix generation rule. The method disclosed by the invention can establish the OD matrix for multiple lines in real time. The invention further discloses a system for establishing the public transit OD matrix.

Description

technical field [0001] The invention relates to the technical field of traffic conditions, in particular to a method and system for constructing a bus OD matrix. Background technique [0002] With the popularization and development of intelligent public transport systems, massive amounts of data have been accumulated in subsystems such as intelligent public transport system charging, dispatching, and passenger flow monitoring. How to use advanced data mining technology to analyze these massive amounts of information and discover the hidden public transport modes and rules , Obtain high-level, potential laws, and evaluate the public transport system, optimize public transport planning schemes and public transport dispatching strategies are urgent needs of urban public transport operations. [0003] Bus passenger flow information can well reflect residents' travel needs and travel behavior rules, and is an important basis for evaluating public transport systems, optimizing pub...

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Problems solved by technology

[0004] At present, affected by the performance of single-computer computing and the scale of processed data, most of the existing bus OD matrix construction methods are limited to the statistical analysis of single-line probability models, and only a small part of the massive bus data is analyzed by a single computer to mine bus passenger flow information. , it is impossible to analyze and mine dynamic bus data in real time, and it is difficult to comprehensively, comprehensively, objectively and accurately evaluate the massive bus data of multiple bus lines, resulting in long processing time, low processing efficiency, poor real-time performance and stability, etc. question

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