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International Conference on Human Centered Computing

HCC 2014: Human Centered Computing pp 251–264Cite as

An Assistant Decision-Supporting Method for Urban Transportation Planning over Big Traffic Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8944))

Abstract

With the acceleration of population urbanization and urban-land expansion, new communities and economic zones have been springing up everywhere. As a fundamental requirement, scientific and rational transportation planning is definitely necessary for constructing public transport links in these new urban districts. To satisfy this requirement, an assistant decision-supporting method for urban transportation planning is proposed in this paper. The method is based on a real-world “big data” – a taxi-GPS trace data set generated by GPS-equipped taxis. Technically, a bidirectional transportation planning principle is designed to provide a reference standard for urban transportation planning. In order to improve the scalability and efficiency of the proposed method in “Big Data” environment, the HANA in-memory database is employed for the method implementation. Finally, extensive experiments are conducted to validate the feasibility and efficiency of the proposed method.

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Author information

Authors and Affiliations

  1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

    Xiaolong Xu & Wanchun Dou

  2. Department of Computer Science and Technology, Nanjing University, Xianlin Avenue No.163, Qixia District, Nanjing, 210023, Jiangsu, China

    Xiaolong Xu & Wanchun Dou

Authors
  1. Xiaolong Xu
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  2. Wanchun Dou
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Corresponding author

Correspondence to Wanchun Dou .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Wuhan, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe, Middlesex, United Kingdom

    Bo Hu

  3. Fudan University, Shanghai, China

    Ning Gu

  4. Telecommunications and Information Communication Technology, National Institute of Posts, Phnom Penh, Cambodia

    Sopheap Seng

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Xu, X., Dou, W. (2015). An Assistant Decision-Supporting Method for Urban Transportation Planning over Big Traffic Data. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-15554-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15553-1

  • Online ISBN: 978-3-319-15554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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