Skip to main content
SpringerLink
Log in

Traffic Big Data Analysis for the Effect Evaluation of a Transportation Management Plan

  • Conference paper
  • First Online:
Book cover Advanced Multimedia and Ubiquitous Engineering (MUE 2018, FutureTech 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 518))

Abstract

This study aims to analyze traffic impacts caused by a bridge blockage and understand the effects of a transportation management plan. Using transportation management plan big data collected through vehicle detection systems (VDSs) and probe vehicles, the effects on traffic were quantitatively analyzed to evaluate the impact of a transportation management plan in terms of traffic volume and travel time. Both traffic volume and average travel time in all detours increased when the bridge was fully closed. However, the effects on traffic were lessened when the transportation management plan was implemented. The results of this study are expected to be used as a foundation for establishing an effective transportation management plan.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhu S, Levinson D, Liu HX, Harder K (2010) The traffic and behavioral effects of the I-35 W Mississippi River bridge collapse. Transp Res Part A: Policy Pract 44:771–784

    Google Scholar 

  2. Ye L, Mokhtarian PL, Circella G (2012) Commuter impacts and behavior changes during a temporary freeway closure: the ‘Fix I-5’ project in Sacramento, California. Transp Plann Technol 35:341–371

    Article  Google Scholar 

  3. Oh Y, Chung K, Park SH, Kim C, Kang S (2017) Evaluating the impact of the sudden collapse of major freeway connectors on rapid transit and adjacent freeway systems: San Francisco Bay area case study. Appl. Sci. 7(7):726

    Article  Google Scholar 

  4. Maltez R, Chung K (2011) Lessons learned from bay bridge full closure. In: Transportation research board 90th annual meeting no. 11-2116

    Google Scholar 

Download references

Acknowledgements

This research was supported by a grant (18RDRP-B076268-05) from R&D Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

Author information

Authors and Affiliations

  1. Department of Transportation Engineering, College of Engineering, Keimyung University, 1095, Dalgubeol-daero, Dalseo-gu, Daegu, 42601, Republic of Korea

    Yong Woo Park, Oh Hoon Kwon & Shin Hyoung Park

Authors
  1. Yong Woo Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Oh Hoon Kwon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shin Hyoung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shin Hyoung Park .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Departement of Business Science, University of Salerno, Fisciano, Italy

    Vincenzo Loia

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Gangman Yi

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Park, Y.W., Kwon, O.H., Park, S.H. (2019). Traffic Big Data Analysis for the Effect Evaluation of a Transportation Management Plan. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_110

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1328-8_110

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1327-1

  • Online ISBN: 978-981-13-1328-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation