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A Bus Passenger Flow Estimation Method Based on POI Data and AFC Data Fusion

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Big Data and Security (ICBDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1210))

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Abstract

The unreasonable location of bus stations and scheduling has been a serious problem in public transportation for a long time. To provide a comfortable travel experience, effective bus scheduling and reasonable station location is essential. In order to estimate bus passenger flow at different location and time, this paper proposes a method using ridge regression and stepwise regression to estimate passenger flow with POI and AFC data fusion. The results show that all categories of POI have different capacity to influence passenger flow, and people can estimate number of passengers of arbitrary time and place based on the method, which will contribute to optimization of public transportation system.

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Acknowledgements

This research was supported by Defense Industrial Technology Development Program under Grant No. JCKY2016605B006, Six talent peaks project in Jiangsu Province under Grant No. XYDXXJS-031.

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Authors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

    Yuexiao Cai, Yunlong Zhao, Jinqian Yang & Changxin Wang

  2. Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, Jiangsu, China

    Yunlong Zhao

Authors
  1. Yuexiao Cai
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  2. Yunlong Zhao
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  3. Jinqian Yang
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  4. Changxin Wang
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Corresponding author

Correspondence to Yunlong Zhao .

Editor information

Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Tinghuai Ma

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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Cai, Y., Zhao, Y., Yang, J., Wang, C. (2020). A Bus Passenger Flow Estimation Method Based on POI Data and AFC Data Fusion. In: Tian, Y., Ma, T., Khan, M. (eds) Big Data and Security. ICBDS 2019. Communications in Computer and Information Science, vol 1210. Springer, Singapore. https://doi.org/10.1007/978-981-15-7530-3_27

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  • DOI: https://doi.org/10.1007/978-981-15-7530-3_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7529-7

  • Online ISBN: 978-981-15-7530-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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