A derivation method of bus IC card passenger alighting station based on multi-source data

Abstract

A multi-source data-based derivation method for bus IC card passenger alighting stations, which is accurate, effective and operable, can be widely used in the derivation of bus OD, and provides theoretical and theoretical basis for analyzing the distribution of passenger flow and determining the departure frequency. Method basis. This application includes steps: (1) basic data preparation: preprocessing the original data, obtaining valid bus GPS data and IC card swiping data, calculating the bus arrival schedule, and counting the number of people on the bus at each station; (2) commuting based travel Chain derivation of alighting stations: identify commuter travel chains, derive commuter alighting stations, and count the number of people getting off at each station; (3) deduce alighting stations based on common travel chains: identify common travel chains, and derive alighting stations based on the characteristics of travel chains , to count the number of people who get off at each station; (4) Deduce the number of people who get off at each station based on the attraction weight of the station: define the calculation method of the attraction weight of the station, and calculate the probability of getting off at each station from the aggregate point of view.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and relates to a method for deriving bus IC card passenger alighting stations based on multi-source data. Background technique [0002] In the context of the era of big data, mining massive data by means of information technology and extracting effective information from it to support decision-making has achieved good applications in various fields. In the field of transportation, as the data collection and processing methods of traffic big data become more and more mature, it has become a research hotspot to obtain the bus OD matrix based on multi-source data and analyze the distribution characteristics of bus passenger flow. [0003] Multi-source data includes bus GPS data, IC card swiping data, static bus data, etc. Nowadays, the bus IC card automatic toll collection system is popular across the country, and bus vehicles are also generally equipped with on-board GPS devices. The resul...

AI Technical Summary

Problems solved by technology

[0004] At present, most of the bus systems adopt the one-ticket system, that is, to swipe the card when getting on the bus, and not to swipe when getting off, so it is impossible to obtain the passenger alighting information. Therefore, the derivation of the alighting station is the core of mining multi-source data and is also a technical difficulty, and its derivation accuracy is extremely high. OD derivation results of the influence of land on bus passenger flow

Previous research derivation ideas are mainly divided into derivation based on travel chain assumptions and calculation of alighting probability based on site attraction power. The former does not have a high proportion of multi-source data mining, and the latter cannot obtain specific passenger travel trajectories for verification as an aggregate method. accuracy

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