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Boarding Stations Inferring Based on Bus GPS and IC Data

  • Xiang Yu
  • Fengjing ShaoEmail author
  • Rencheng Sun
  • Yi Sui
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 946)

Abstract

Understanding bus passengers’ flow patterns is an important guide for optimization of public transport system. In most cities buses have been equipped with GPS devices and Smart IC card fare devices, which leads to amount of real-time geocoded data of buses and passengers. Usually these two kinds of data could be combined for inferring passengers’ boarding stations. However, in some cases there is no straightforward relation between them, such that boarding station of passengers are unknown. In this paper, an inferring method for finding the correspondence between these two types of data is proposed. This method was validated by Qingdao data. Based on that, we analyze the spatio-temporal distribution of passengers’ flow.

Keywords

GPS data IC data Bus matching Public transportation 

Notes

Acknowledement

This research is supported by National Statistical Science Research Project (2017LY82), Shandong Computer Science Provincial Key Laboratory Joint Open Fund Project. We would like to thank Qingdao Traffic Committee, Qingdao Public Transport Group and Qingdao Hisense Netwrok Technology Co., Ltd for access to the data on which the paper is based.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyQingdao UniversityQingdaoChina

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