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Exploring traffic flow databases using space-time plots and data cubes

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  • Ying Song
  • Harvey Miller

Abstract

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Suggested Citation

  • Ying Song & Harvey Miller, 2012. "Exploring traffic flow databases using space-time plots and data cubes," Transportation, Springer, vol. 39(2), pages 215-234, March.
  • Handle: RePEc:kap:transp:v:39:y:2012:i:2:p:215-234
    DOI: 10.1007/s11116-011-9343-z
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    References listed on IDEAS

    as
    1. Mark Gahegan, 2000. "The case for inductive and visual techniques in the analysis of spatial data," Journal of Geographical Systems, Springer, vol. 2(1), pages 77-83, March.
    2. Zhuang J. & Ogata Y. & Vere-Jones D., 2002. "Stochastic Declustering of Space-Time Earthquake Occurrences," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 369-380, June.
    3. Hsun-Jung Cho & Yow-Jen Jou & Chien-Lun Lan, 2009. "Time Dependent Origin-destination Estimation from Traffic Count without Prior Information," Networks and Spatial Economics, Springer, vol. 9(2), pages 145-170, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Guardiola, I.G. & Leon, T. & Mallor, F., 2014. "A functional approach to monitor and recognize patterns of daily traffic profiles," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 119-136.
    2. Rafael H. M. Pereira & Pedro R. Andrade & João Pedro Bazzo Vieira, 2023. "Exploring the time geography of public transport networks with the gtfs2gps package," Journal of Geographical Systems, Springer, vol. 25(3), pages 453-466, July.
    3. Noelia Caceres & Luis M. Romero & Francisco J. Morales & Antonio Reyes & Francisco G. Benitez, 2018. "Estimating traffic volumes on intercity road locations using roadway attributes, socioeconomic features and other work-related activity characteristics," Transportation, Springer, vol. 45(5), pages 1449-1473, September.
    4. Tuo Sun & Shihao Zhu & Ruochen Hao & Bo Sun & Jiemin Xie, 2022. "Traffic Missing Data Imputation: A Selective Overview of Temporal Theories and Algorithms," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
    5. Ying Song & Yingling Fan & Xin Li & Yanjie Ji, 2018. "Multidimensional visualization of transit smartcard data using space–time plots and data cubes," Transportation, Springer, vol. 45(2), pages 311-333, March.
    6. Osipenko, Maria, 2021. "Directional assessment of traffic flow extremes," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 353-369.
    7. Yanmin Qi & Zuduo Zheng & Dongyao Jia, 2020. "Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    8. Tribby, Calvin P. & Miller, Harvey J. & Song, Ying & Smith, Ken R., 2013. "Do air quality alerts reduce traffic? An analysis of traffic data from the Salt Lake City metropolitan area, Utah, USA," Transport Policy, Elsevier, vol. 30(C), pages 173-185.

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