The journal will publish original research papers applying big data techniques to transportation problems. The problems big data techniques are applied to can range from improvement in real-time transportation operations, transportation planning to near term prediction of crash risk. The paper may provide novel ideas about improved data ingestion, data curation, data archiving, data visualization, data security etc. for better transportation decision making. The data being used in the paper should at least satisfy on of the 3 V’s of the Gartner’s definition of big data i.e., high volume, high velocity or high variety. Also, knowledge discovery should use holistic approach instead of sampling and aggregation techniques to be considered as big data application.

Journal information

Editor-in-Chief
  • Adel W. Sadek,
  • Anuj Sharma
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

54 days
Submission to first decision
157 days
Submission to acceptance
4,922 (2019)
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This journal has 4 open access articles

Journal updates

  • Special Issue on Deep Learning in Transportation

    Guest Editors


    Dr. Yaw Adu-Gyamfi  Assistant Professor, Civil and Environmental Engineering   College of Engineering University of Missouri Email: yawokyereadugyamfi@gmail.com

    Dr. Pranamesh Chakraborty Assistant Professor, Department of Civil Engineering Indian Institute of Technology, Kanpur Email: pranameshbesu@gmail.com

    Dr. Shuo Wang NVIDIA Email: shuow@nvidia.com



    Submission Deadline: 15th August, 2020

View all updates

About this journal

Electronic ISSN
2523-3564
Print ISSN
2523-3556
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. Dimensions
  4. EBSCO Discovery Service
  5. Google Scholar
  6. INSPEC
  7. Institute of Scientific and Technical Information of China
  8. Japanese Science and Technology Agency (JST)
  9. Naver
  10. OCLC WorldCat Discovery Service
  11. ProQuest-ExLibris Primo
  12. ProQuest-ExLibris Summon
  13. TD Net Discovery Service
  14. Transport Research International Documentation(TRID)
  15. WTI Frankfurt eG
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