Mobility Patterns, Big Data and Transport Analytics

Constantinos Antoniou is a Professor and Chair of Transportation Systems Engineering at the Technical University of Munich, Germany. He was previously an Associate Professor at the National Technical University of Athens, Greece. His research focuses on modelling and simulation of transportation systems, Intelligent Transport Systems (ITS), calibration and optimization applications, road safety and sustainable transport system. Antoniou has been involved in a large number of projects, primarily in Europe and the US, and has authored more than 500 scientific publications, including in Elsevier’s Transportation Research Part C: Emerging Technologies (for which he serves on the editorial board) and Transportation Research Part A: Policy and Practice (for which he serves as an Associate Editor). Loukas Dimitriou is an Assistant Professor in the Department of Civil and Environmental Engineering, University of Cyprus (UCY) and founder and head of the Lab for Transport Engineering, UCY. His research interests focus on the application of advanced computational intelligence methods, concepts and techniques for understanding the complex phenomena involved in realistic transport systems, and developing design and control strategies. The methodological paradigms that he proposes utilize elements from Data Science, behavioral analytics, complex systems modelling and advanced optimization, applied in traditional fields of transport, like demand modelling, travel behavior and systems organization, optimization and control. He has more than 100 publications in peer-reviewed journals, proceedings of conferences and book chapters, while he is an active member of international scientific organizations and committees.Francisco Pereira is a Professor at the Technical University of Denmark, in Kongens Lyngby, Denmark, where he leads the Smart Mobility research group. Previously, he was Senior Research Scientist at MIT/CEE ITSLab, where he worked on real-time traffic prediction, behavior modeling, and advanced data collection technologies, both in Boston and Singapore, as part of the Singapore-MIT Alliance for Research and Technology, Future Urban Mobility project (SMART/FM). His main research focus is on applying machine learning and pattern recognition to the context of transportation systems with the purpose of understanding and predicting mobility behavior, and modeling and optimizing the transportation system as a whole. He has been published in many journals, including in Elsevier’s Transportation Research Part C: Emerging Technologies.

• 1. Big Data and Transport Analytics: An Introduction Constantinos Antoniou, Loukas Dimitriou and Francisco Camara Pereira1 Introduction2 Book StructurePart I: Methodological2. Machine Learning FundamentalsFrancisco Camara Pereira and Stanislav S. Borysov3. Using Semantic Signatures for Social Sensing in Urban EnvironmentsKrzysztof Janowicz, Grant McKenzie, Yingjie Hu, Rui Zhu and Song Gao4. Geographic Space as a Living Structure for Predicting Human Activities Using Big DataBin Jiang and Zheng Ren5. Data PreparationKristian Henrickson, Filipe Rodrigues and Francisco Camara Pereira6. Data Science and Data VisualizationMichalis Xyntarakis and Constantinos Antoniou7. Model-Based Machine Learning for TransportationInon Peled, Filipe Rodrigues and Francisco Camara Pereira8. Textual Data in Transportation Research: Techniques and OpportunitiesAseem Kinra, Samaneh Beheshti Kashi, Francisco Camara Pereira, Francois Combes and Werner RothengatterPart II: Applications9. Statewide Comparison of Origin-Destination Matrices Between California Travel Model and TwitterJae Hyun Lee, Adam Davis, Elizabeth McBride and Konstadinos G. Goulias10. Transit Data Analytics for Planning, Monitoring, Control, and InformationHaris N. Koutsopoulos, Zhenliang Ma, Peyman Noursalehi and Yiwen Zhu11. Data-Driven Traffic Simulation Models: Mobility Patterns Using Machine Learning TechniquesVasileia Papathanasopoulou, Constantinos Antoniou and Haris N. Koutsopoulos12. Big Data and Road Safety: A Comprehensive Review13. A Back-Engineering Approach to Explore Human Mobility Patterns Across Megacities Using Online Traffic Maps14. Pavement Patch Defects Detection and Classification Using Smartphones, Vibration Signals and Video ImagesSymeon E. Christodoulou, Charalambos Kyriakou and George Hadjidemetriou15. Collaborative Positioning for Urban Intelligent Transportation Systems (ITS) and Personal Mobility (PM): Challenges and PerspectivesVassilis Gikas, Guenther Retscher and Allison Kealy