Overview
Data Science for Transportation is a journal focused on the application of data science methods in the field of transportation.
- Encourages a cross-disciplinary dialogue with original research articles, review papers, and commentary articles.
- Showcases the latest methodological advances and their implications for policy making.
- Highlights the significant impact of these fields on other scientific disciplines and various aspects of society and industry.
- Focuses on analytical data-driven methods and high-quality application-based studies.
- Discusses emerging ethical, social, and privacy issues in this domain.
- Co-Editors-in-Chief
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- Satish V Ukkusuri,
- Leclercq Ludovic
- Submission to first decision (median)
- 16 days
- Downloads
- 37,831 (2023)
Latest articles
Journal updates
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Special Issue on AI for Autonomous Mobility
Guest Editors
Javier Alonso Mora: Delft University of Technology, Netherlands; Email: J.AlonsoMora@tudelft.nl
Igor Gilitschenski: University of Toronto, Canada; Email: gilitschenski@cs.toronto.edu
Alexandre Alahi (Lead Guest Editor): EPFL; Email: alexandre.alahi@epfl.ch
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Special Issue on New frontiers in Transportation Data and Modelling
Guest Editors
Biagio Ciuffo (Lead Guest Editor): European Commission Joint Research Centre (EU), Belgium; Email: Biagio.CIUFFO@ec.europa.eu
Jaume Barcelo: Universitat Politècnica de Catalunya (ES), Spain; Email: jaume.barcelo@upc.edu
Carlos M. Lima Azevedo: Technical University of Denmark (DK), Denmark; Email: climaz@dtu.dk
Ronghui Liu: University of Leeds (UK), United Kingdom; Email: R.Liu@its.leeds.ac.uk
B.-H. Nahmias-Biran: Ariel University (IL), Israel; Email: bathennb@ariel.ac.il
Vincenzo Punzo: Universita’ di Napoli Federico II (IT), Italy; Email: vinpunzo@unina.it
Submission Deadline: 31st March, 2024
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Special Issue on Exploring Crowdsourced Data for Transport Demand Modeling
Guest Editors
Francesco Viti: University of Luxembourg, Luxembourg; Email: francesco.viti@uni.lu
Giuseppe Inturri: University of Catania, Italy; Email: giuseppe.inturri@unict.it
Angelo Furno: Ecole Nationale des Travaux Publics de l’Etat (ENTPE), France; Email: angelo.furno@univ-eiffel.fr
Jan-Dirk Schmöcker: Kyoto University, Japan; Email: schmoecker@trans.kuciv.kyoto-u.ac.jp
Satish Ukkusuri: Purdue University; USA; Email: sukkusur@purdue.edu
Submission Deadline: 31st March, 2024
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RSS 2022: Machine Learning and Artificial Intelligence in Safety Critical Transport Applications
Guest Editors:
George Yannis (Lead Guest Editor), National Technical University of Athens; geyannis@central.ntua.gr
Eleni I. Vlahogianni, National Technical University of Athens; elenivl@central.ntua.gr
Submission deadline: 31st March, 2024
Journal information
- Electronic ISSN
- 2948-1368
- Print ISSN
- 2948-135X
- Abstracted and indexed in
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- ACM Digital Library
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- TD Net Discovery Service
- Transport Research International Documentation(TRID)
- Wanfang
- Copyright information