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Engineering - Civil Engineering | Journal of Big Data Analytics in Transportation (Editorial Board)

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Journal of Big Data Analytics in Transportation

Journal of Big Data Analytics in Transportation

Editor-in-Chief: A.W. Sadek; A. Sharma

ISSN: 2523-3556 (print version)
ISSN: 2523-3564 (electronic version)

Journal no. 42421

EDITOR-IN-CHIEFs

Adel W. Sadek, Ph.D., Professor, Civil, Structural, and Environmental Engineering, University at Buffalo, The State University of New York, USA

Anuj Sharma, Ph.D., Associate Professor, Department of Civil Engineering, Iowa State University, Ames, Iowa, USA

ASSOCIATE EDITOR
Ouri Wolfson, Ph.D., Professor, Department of Computer Science, University of Illinois Chicago, Chicago, IL, USA

Mecit Cetin, Associate Professor, Civil & Environmental Engineering, Old Dominion University, Norfolk, VA, US

Konstantinos Aboudolas Ampountolas, Lecturer in Transportation Engineering, University of Glasgow, UK

EDITORIAL BOARD

Ashish Bhaskar, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia

Abhishek Srivastav, Ph.D., Scientist, GE Global Research San Ramon, CA

Aditya Wagh, Ph.D., Software Engineer, Google, Mountain View, CA

Edward Smaglik, Ph.D. Associate Professor, Civil and Environmental Engineering Northern Arizona University Flagstaff, AZ

Jing Gao, Department of Computer Science and Engineering, University at Buffalo, New York, USA

John C. Handley, Ph.D., Research Scientist, Goergen Institute for Data Science, University of Rochester, Rochester, NY

Kaan Ozbay, Ph.D., Professor, Center of Urban Science + Progress New York University, New York, NY, USA

Lei Lin, Ph.D., Research Scientist, Goergen Institute for Data Science Institute, University of Rochester, Rochester, NY

Lelitha Devi Vanajakshi, Ph.D., Associate Professor, Civil Engineering Indian Institute of Technology-Madras Chennai, India

Linda Boyle, Ph.D., Professor, Industrial and Systems Engineering University of Washington, Seattle, WA, USA

Piyushimita Thakuriah (Vonu), Ph.D., Director, UK ESRC Urban Big Data Centre; Halcrow Chair of Transportation Professor, Department of Urban Studies, College of Social Sciences; Affiliated Professor, School of Engineering, College of Science and Engineering University of Glasgow, United Kingdom

Pushkin Kachroo, Ph.D., P.E. Professor, Department of Electrical and Computer Engineering University of Nevada, Las Vegas, NV, USA

Qing He, Department of Industrial and Systems Engineering and Department of Civil, Structural and Environmental Engineering, University at Buffalo, New York, USA

Senem Velipasalar, Associate Professor, Electrical Engineering and Computer Science Syracuse University, NY, USA

Soumik Sarkar, Ph.D., Assistant Professor, Mechanical Engineering, Iowa State University Ames, IA

Yaw Adu-Gyamfi, Assistant Professor, Civil and Environmental Engineering, University of Missouri, Columbia, MO, USA

Yunjie Zhao, Ph.D., Lead Data Scientist, HERE Technologies, Chicago, IL

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  • Aims and Scope

    Aims and Scope

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    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. The techniques could involve CPU, RAM, GPU based high performance computing for batch analytics, stream processing, big data visualization, deep learning, or distributed computing such as block chain applications for enhanced security and smart contracts.
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