Optimization and analysis of transportation systems have considerably become more autonomous and smarter with the utilization of connectivity and automation in terms of overcoming urbanization problems, such as ever-growing population, increasing personal travel activities, limited budgets for infrastructure deployments, etc. With this in mind, there is an increasing need for high cooperation for innovative, strategic, and operational management strategies among different types of transportation modes, with different objectives and policies. Intelligent transportation systems (ITS), even more today than before, will have significant duties in providing efficient integration and cooperation among different technologies and services.
With the utilization of such technologies and services, complex and diverse multi-source ITS data have increased massively. Those valuable vast amounts of data can be handled by big data analytics in terms of providing efficient, safe, and convenient ITS operations. Through the big data oriented emerging technologies, traffic becomes more intelligent, more manageable, and safer.
We invite contributions from researchers on data science, data systems, and transportation science and their applications to deliver effective and efficient solutions to current challenges of handling big data in real-world ITS applications.
We welcome original contributions (reviews and surveys, technical and research papers) on methodologies, formalisms, algorithms, and solutions on Big Data for the following topics and related areas:
• Traffic Optimization
• Road Network, Rail Traffic, and Air Traffic Analysis and Management
• Traffic Safety
• Connected and Autonomous Vehicles
• Machine Learning, Deep Learning and Optimization Techniques for ITS
• Mobility and Accessibility
• Data Collection, Sensing and Detectors
• Special Events and Emergency Management
• Environment and Air Quality
• Big Data in Vision, and Environment Perception
Manuscripts must be submitted through the Expert Systems electronic submission system at https://submission.wiley.com/journal/exsy (select “Special Issues on Big Data in Transportation” as the manuscript type). Submissions shall adhere to the Wiley’s instructions and guidelines for authors available at the journal web site: https://onlinelibrary.wiley.com/journal/14680394. Papers will be evaluated for their originality, contribution, significance, soundness, clarity, and overall quality. The interest of contributions will be assessed in terms of technical and scientific findings, contribution to the knowledge and understanding of the problem, methodological advancements, and/or applicative value.
Submission due: March 31, 2021
Initial review: April 30, 2021
Revision due: June 31, 2021
Final decision: July 31, 2021
Publication: After July 2021 (at the discretion of the Editor in Chief)
Baloka Belezamo, Arizona State University, Tempe, Arizona, USA (email@example.com)
Süleyman Eken, Information Systems Engineering, Kocaeli University, Turkey (firstname.lastname@example.org)
Cafer Avcı, Transportation Engineering, Aalto University, Finland (email@example.com) (Lead Guest Editor)