Journal of Intelligent Transportation Systems Editors
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Dr. Asad J. Khattak
Dr. Asad J. Khattak is the Beaman Distinguished Professor of Civil & Environmental Engineering at the University of Tennessee and a leader in intelligent transportation systems and safety research. With a Ph.D. from Northwestern University and subsequent work at the University of California, Berkeley, University of North Carolina, Chapel Hill, and Old Dominion University, he has advanced engineering through innovative methods, modeling and simulation, and data analytics. His work focuses on uncertainties in traffic, traveler behavior, connected and automated vehicles, pedestrian and bicyclist safety, crash prediction, and machine learning applications for real-time risk assessment. Dr. Khattak has authored over 227 peer-reviewed journal articles, achieving an H-index of 69 and ranking among the top 2% of transportation scientists worldwide. His research has attracted $30 million in sponsored funding. Internationally, he has collaborated with leading institutions in the UK, France, South Korea, China, and Portugal, and delivered keynote addresses at major conferences across Asia and Europe. His scholarship has influenced practice, from developing safety performance functions for highway design to advancing automated vehicle safety testing. As Editor-in-Chief of the Journal of Intelligent Transportation Systems and as an advisor to multiple journals, Dr. Khattak influences the global research agenda. He has mentored 23 Ph.D. students and 40+ master’s students. Through research, international collaborations, and a commitment to education, Dr. Khattak continues to drive innovations that make transportation mobility safer worldwide.
Dr. Jan-Dirk Schmöcker
Dr. Jan-Dirk Schmöcker is an Associate Professor within the School of Global Engineering and the Department of Urban Management at Kyoto University since 2010. He studied at the Technical University of Berlin, Newcastle University, and Imperial College London, from where he obtained his PhD.
Dr. Cetin
Dr. Cetin is a Professor at the Civil and Environmental Engineering (CEE) Department at Old Dominion University (ODU) and the Batten Chair in Transportation Systems, and serves as the Director of the Transportation Research Institute (TRI). He conducts research on Intelligent Transportation Systems (ITS), applications of AI/ML in ITS, connected and automated vehicles (CAVs), modeling and simulation of traffic operations, system state prediction, and sensor fusion. He authored or co-authored more than 140 papers in peer-reviewed journals or conference proceedings and published an ML Guidebook as part of the NCHRP project on Implementing and Leveraging Machine Learning at State DOTs. His research is funded by various agencies, including the NSF, USDOT, TRB, NOAA, FHWA’s TFHRC, VDOT, SCDOT, and others. Dr. Cetin has also been serving the professional community for more than 20 years. He served on the TRB Committee on Artificial Intelligence and Advanced Computing Applications (AED50) for 12 years and the TRB Committee on Urban Transportation Data and Information Systems (AED20) for nine years. He chaired or co-chaired various subcommittees and activities for these committees, including numerous TRB workshops on ML/AI and big data. He served as the paper review chair for AED20 and managed the review process for ~45-60 papers/year (2015-2018). He is serving as an associate editor for two journals: Journal of Intelligent Transportation Systems and Data Science for Transportation. Dr. Cetin received his Ph.D. degree in Transportation Engineering from Rensselaer Polytechnic Institute (RPI) in 2002.
Professor Samer Hamdar
Professor Samer Hamdar is the founding director of the Transportation Engineering Program (previously designated as the Center of Intelligent Systems Research – CISR) since 2016 and a founding co-director of the SmART Cities Initiative since 2019 at the George Washington University (GWU). He was a CISR member and a member of the National Crash Analysis Center – NCAC – between 2009 and 2016. Dr. Hamdar is currently a Professor of Civil and Environmental Engineering (CEE) at GWU. He served in visiting research positions at the Delft University of Technology (TU Delft), the Netherlands, and at the Technical University of Dresden (TU Dresden), Germany. He is currently a member of the Transportation Research Board (TRB) Standing Technical Committee on Traffic Flow Theory, Models, and Simulation (ACF11). In terms of research, Dr. Hamdar has more than 15 years of experience working on artificial intelligence/machine learning, connected and intelligent transportation systems, driver behavior modelling, evacuation management, automated vehicles, and (vehicular and pedestrian) traffic flow dynamics and safety. He has an international research background, participating/leading projects in Germany, the Netherlands, South Korea, and the United States. He is a recipient of the National Science Foundation CAREER Award titled: “Collision Prediction and Vehicular Control Using an Episode-Based Modeling Framework”. His research and outreach have brought international recognition to the GW Transportation Engineering Program. He is a Member of ASCE, IEEE, and TRB, and made significant contributions to various society committees, conferences, and activities. Dr. Hamdar serves as associate editor, assistant editor, and editorial board member on three journals. He developed the undergraduate Transportation and Sustainability option at the CEE department at GWU. He has taught courses in engineering computations, demand modeling, traffic flow theory, control and safety, intelligent transportation systems, connected and automated vehicles, and data analytics.
B. Brian Park
B. Brian Park is a Professor in the Civil & Environmental Engineering and Systems & Information Engineering Departments at the University of Virginia and a member of Link Lab. He earned his Ph.D. from Texas A&M University in 1998. A prolific researcher, Dr. Park has published over 190 papers and amassed more than 9,500 citations. His awards include the 2014 George N. Saridis Best Transactions Paper Award and the 2024 Governor’s Environmental Excellence Award. He holds editorial roles with several leading transportation journals. Dr. Park’s work focuses on connected and automated vehicles, traffic operations, and cyber-physical transportation systems. Through UVA’s Link Lab, he develops technology solutions—particularly cooperative vehicle control algorithms—to enhance the efficiency and safety of surface transportation. He also contributes his expertise to the Transportation Research Board and ASCE technical committees, helping to shape the future of intelligent transportation.
Dr. Husain Aziz
Dr. Husain Aziz is an Associate Professor of Civil Engineering at Kansas State University and the PI of the Transportation Infrastructure & System Research (TIS) Lab, where he develops system-level models and AI/ML methods to evaluate connected, automated, electrified, and shared-use mobility systems with an emphasis on safety, resilience, sustainability, and equity. Dr. Aziz has established a strong record of peer-reviewed contributions spanning transportation network modeling, AI/ML-enabled safety analytics, reinforcement-learning-based traffic control, EV energy/emissions modeling, and post-disaster routing and infrastructure resilience. Complementing this output, Dr. Aziz has built a substantial sponsored-research portfolio totaling approximately $23.53M in funded projects, including more than $1.5M as PI and major federal and state awards (e.g., NSF EPSCoR, FMCSA, FHWA pooled fund, KDOT, and U.S. DOE initiatives). Dr. Aziz serves as a peer reviewer for several SJR Q1 journals and as a grant proposal reviewer for various funding agencies.
Professor Haitham Al-Deek
Professor Haitham Al-Deek is an internationally recognized expert with over 35 years of contributions to transportation engineering, planning, and operations. He is highly regarded for his pioneering work in freeway operations, Intelligent Transportation Systems (ITS), and especially wrong-way driving (WWD) research and countermeasures. His accomplishments include 18 best paper awards and five national recognition awards from the U.S. Transportation Research Board (TRB). His innovative WWD research has received significant media attention, including coverage by CBS News (2022), FOX NOW 19 (2016), and Channel 9 (2014–2015). He holds three U.S. patents, two registered marks, and eight copyrights, and was recognized in 2003 as a distinguished researcher by the University of Central Florida (UCF). After earning his M.S. (1987) and Ph.D. (1991) in civil engineering from the University of California, Berkeley, and completing a year as a research engineer with UC PATH, Professor Al-Deek joined UCF in 1992. He has since supervised 16 Ph.D. dissertations and 29 M.S. theses and served as faculty advisor to the UCF ITE student chapter for 26 years. His UCF honors include the College of Engineering Excellence in Research Award (2018), three Research Incentive Awards, the university-wide Researcher of the Year Award (1999), and six Teaching Incentive Program Awards. Professor Al-Deek’s research spans WWD, traffic safety, traffic operations, incident management, connected and automated vehicles, ITS, electronic tolling, freight, and clean energy. Among his impactful contributions, he was the first to develop an ITS-based WWD detection and control system with an 88% self-correction rate, propose connected-vehicle-based WWD mitigation strategies, develop the Central Florida Data Warehouse (CFDW™), lead the first evaluation of Orlando’s E-PASS system, and produce the first statewide freight forecasts for Florida’s deep-water ports. He is an Associate Editor of TRR and J-ITS, has chaired multiple TRB committees’ paper review processes (2000–2025), and has been a registered professional engineer in Florida since 1998.
Margarida Coelho
Margarida Coelho is Full Professor at the Department of Environment and Planning in the University of Aveiro, Portugal. She coordinates the research on smart mobility at the Centre for Mechanical Technology and Automation of the same University. Her research interests are based on smart mobility impacts assessment (namely, on modelling of traffic and pollutant emissions), automated vehicles, micromobility, life cycle assessment and decarbonization of Port areas. She has more than 140 scientific papers published in international journals (such as Journal of Intelligent Transportation Systems, Applied Energy, Sustainable Cities and Society, Journal of Sustainable Transportation, Accident Analysis and Prevention, Atmospheric Environment, Transportation Research Record, Transportation Research Part D: Transport and Environment). Her SCOPUS h-index is 28.
Dr. Guohui Zhang
Dr. Guohui Zhang is a Professor in the Department of Civil and Environmental Engineering at the University of Hawaii at Manoa. He earned his Ph.D. degree from the University of Washington. His research focuses on large-scale transportation systems modeling, traffic safety, traffic sensing, Connected and Automated Vehicle (CAV) operations, and AI applications in transportation. He published more than 120 academic papers in top, internationally circulated journals, with an H-index of 45. His research has attracted $22 million in sponsored funding. Dr. Zhang received numerous awards, including the ASCE Fellow, the 2022 Faculty Research Award from the College of Engineering at the University of Hawaii at Manoa, the 2017 TRB Greenshields Paper Award, etc. He has served as the Director of the Hawaii Local Technical Assistance Program and as the Associate Director of Transportation Cybersecurity for Advanced Research and Education (CYBER-CARE).
Dr. Francesco Viti
Dr. Francesco Viti is a Full Professor and, since 2025, Head of the Department of Engineering at the University of Luxembourg, where he leads the MobiLab Transport Research Group, a leading European research group in transport systems, mobility analytics, and intelligent transportation systems. His work is highly interdisciplinary, bridging transportation engineering, data science, behavioural modelling, optimisation, and AI-enabled mobility systems. He has authored more than 300 publications, including over 150 Scopus-indexed papers, and is internationally recognised for advancing theory, methods, and data-driven tools for sustainable and intelligent mobility. Professor Viti has an exceptional track record in competitive funding. Among others, he is the recipient of four FNR-CORE grants, Luxembourg’s most prestigious national research funding scheme, and has led numerous public–private partnership projects, including two FNR-BRIDGES projects with ACL and CFL Multimodal. At the European level, he coordinates the Horizon Europe NEXTLOGIC project (€15M) on next-generation logistics intelligence and is a key partner in major initiatives such as Horizon Europe ACUMEN, focused on AI-enabled multimodal traffic and network management. His collaborations span top international institutions—including TU Delft, Aalto University, Université Gustave Eiffel, and the University of Sydney where he has been affiliated professor—as well as major industry stakeholders and national ministries. He provides expert advice to the European Commission and Luxembourg’s public administration, contributing to the development and deployment of data-driven mobility policies. Professor Viti has served as Associate Editor of the Journal of Intelligent Transportation Systems since 2014, and has the same role for Transportation Research Part C and Data Science for Transportation, and sits on several editorial boards in the transportation domain.
Dr. Hongchao Liu
Dr. Hongchao Liu is a professor of Civil, Environmental, and Construction Engineering at Texas Tech University. Prior to joining the faculty at Texas Tech in 2004, he spent three years at the Institute of Transportation Studies at the University of California, Berkeley, as a postdoctoral researcher. His research encompasses system and applied transportation engineering/traffic engineering, emphasizing intelligent transportation systems, data analytics, and cooperative systems for connected/autonomous vehicles and highway infrastructure.
Prof. Wai Yuen Szeto
Prof. Wai Yuen Szeto is an Associate Head at the Department of Civil Engineering at The University of Hong Kong, and the Director of the Institute of Transport Studies at that university. He is a Top 0.05% Transport Scholar in 2024 and 2025 by ScholarGPS, a Top 1% Scholar during 2015-2025 (according to Clarivate Analytics’ Essential Science Indicators), and currently a World’s Top 2% Scientist by Stanford University. His current h-index is 68 (Google Scholar). He is an author of over 170 refereed journal papers, with two papers in Operations Research and 34 papers in Transportation Research Part B. His publications have been cited over 14,570 times (Google Scholar). Currently, he is an Editor-in-Chief of Transportmetrica B, an Associate Editor of Transportation Research Part E, Journal of Intelligent Transportation Systems, and Transportmetrica A, an Area Editor of Networks and Spatial Economics, and an Editorial Board Member of Transportation Research Part C, Travel Behaviour and Society, and International Journal of Sustainable Transportation.
Dr. Lina Kattan
Dr. Lina Kattan is a Professor of Transportation Engineering at the Schulich School of Engineering, University of Calgary. She holds the Canada Research Chair (Tier I) in Integrative Transportation Systems through Automation and Connectivity and the Urban Alliance Chair in Transportation Systems Optimization. Lina’s research spans traffic flow theory and control, connected and automated vehicles, network modelling and analysis, equity and fairness in transportation, emerging transportation technologies, public transit operations, and electrification.
Professor Benjamin Coifman
Professor Benjamin Coifman holds a joint appointment in the Department of Civil, Environmental, and Geodetic Engineering and the Department of Electrical and Computer Engineering at The Ohio State University. He has over 130 peer-reviewed publications. Dr. Coifman’s research interests include: (1) developing Intelligent Transportation System (ITS) applications that can be realized in the short term while yielding benefits both in the short term and in the long run; (2) bridging the gap between academia and practice, as well as bridging the gaps between disciplines; and (3) developing new approaches to traffic surveillance that will lead to better traffic control and improved traffic flow theory. He has been working to address the deficiencies in conventional traffic surveillance and control since 1995. The result of this work has been a better interpretation of traffic data, advances in traffic flow theory, new aggregation methodologies for traffic detectors that provide greater accuracy and extract new information, vehicle reidentification techniques that extend traffic surveillance to the entire roadway, development of non-traditional vehicle detection technologies, and data validation tools. Dr. Coifman’s work has been recognized by several awards, including the TRB Greenshields Award, the ITS America Award for the Best ITS Research, the NSF CAREER award, the OSU Lumley Research Award, and the OSU Lumley Interdisciplinary Research Award.
Dr. Xianbiao (XB) Hu
Dr. Xianbiao (XB) Hu is an Associate Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University, where he leads the SmartMobility Lab. Before joining Penn State, he served as an Assistant Professor at Missouri University of Science and Technology, and was a founding member and Director of R&D at Metropia Inc. He received a PhD degree from the University of Arizona. His research focuses on Smart Mobility Systems, Dynamic System Modeling, Artificial Intelligence, Automated Vehicles, Active Demand Management, and Transportation Electrification.
Dr. Jia Hu
Dr. Jia Hu works as a ZhongTe Distinguished Chair in Cooperative Automation in the College of Transportation Engineering at Tongji University. Before joining Tongji, he was a research associate at the Federal Highway Administration (FHWA) in USA. His work focuses on the enabling technologies of connected/automated vehicles. He is an Associate Editor of the IEEE Transaction on Intelligent Transportation Systems, IEEE Transaction on Intelligent Vehicle, American Society of Civil Engineers Journal of Transportation Engineering, IEEE Open Journal in Intelligent Transportation Systems, Journal of Intelligent Transportation Systems, an advisory editorial board member for the Transportation Research Part C, an associate editor for IEEE Intelligent Vehicles Symposium since 2018, and an associate editor for IEEE Intelligent Transportation Systems Conference since 2019. Furthermore, he is a vice chair of the SAE-China Intelligent Transportation Committee and on the board of governors of the IEEE ITS Society.
Dr. Kaan Ozbay
Dr. Kaan Ozbay joined Civil and Urban Engineering at NYU Tandon School of Engineering as a tenured full Professor in 2013. Prior to that, Professor Ozbay was a tenured full Professor at Rutgers University’s Department of Civil and Environmental Engineering, where he joined as an Assistant Professor in July 1996. In 2008, he was a visiting scholar at the Operations Research and Financial Engineering (ORFE) Department at Princeton University. He is the founding Director of the C2SMART University Transportation Center at NYU Tandon School of Engineering, which was established in 2017. Dr. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award. He is also the recipient of an IBM faculty award in addition to several best paper and excellence in research awards, such as the “Franz Edelman Finalist Award for Achievement in Operations Research and Management Science”. His research interests in transportation cover a wide range of topics, including big data analytics for advanced technology and sensing applications in smart cities, development of simulation models of large-scale complex transportation systems, modeling and evaluation of traffic incident and emergency management, feedback based on-line real-time traffic control techniques, traffic safety, and application of operations research techniques in network and humanitarian inventory control. He has co-authored 4 books and published approximately 500 refereed papers in scholarly journals and conference proceedings. Prof. Ozbay is also an Associate Editor of the ITS journal and serves as the Associate Editor of the Networks and Spatial Economics journal and Transportmetrica B: Transportation Dynamics journal. Since 1994, Dr. Ozbay has been the Principal Investigator and Co-Principal Investigator of 125 research projects funded by USDOT, National Science Foundation, NCHRP, NJDOT, NYS DOT, NYC DOT, New Jersey Highway Authority, FHWA, VDOT, Dept. of Homeland Security, among others.
Dr. Shanjiang Zhu
Dr. Shanjiang Zhu is Professor of transportation planning and engineering at George Mason University. He graduated from Tsinghua University with a bachelor’s degree in 2003 and a master’s degree in 2005. During 2001-2003, he studied at the Ecole Centrale de Nantes, in France, as a dual-degree student. He obtained his PhD at the University of Minnesota, Twin Cities, in 2010 and worked two years as a research scientist at the University of Maryland before joining Mason Engineering. Zhu is experienced in travel demand modeling, travel behavior analysis, GPS-based travel survey methods, integrated transportation planning and simulation models, traffic incident management, and transportation economics. He is a Co-PI of the TransInfo University Transportation Center, which focuses on big data studies in transportation. His research work has also been funded by the National Science Foundation, the Federal Highway Administration, the Virginia Department of Transportation, and the Virginia Office of Transportation Public-Private Partnerships. He is the Virginia Governor’s appointee on the Technical Advisory Board of Northern Virginia Transportation Authority and is a fellow of Mason’s P3 policy center. Zhu is the recipient of the 2014 Young Researcher of the Year Award, International Transport Forum, the Organization for Economic Co-operation and Development.
Dr. Achille Fonzone
Dr. Achille Fonzone is a professor of Transport Analysis and Planning at Edinburgh Napier University. He joined Edinburgh Napier after academic positions at Politecnico di Bari and Imperial College London, building on a civil engineering background and a PhD in transport and planning from Politecnico di Bari. His research sits at the nexus of travel behaviour, sustainable mobility, road safety and intelligent transport systems, with a strong interest in how different rationalities, needs and preferences shape transport decisions and impacts. Achille’s work has spanned real-time information systems, public transport ridership patterns, automated vehicle adoption and safety outcomes for vehicles and vulnerable road users. He has achieved an h-index of 33, reflecting a sustained record of influential research and citations. Achille has held visiting positions at King’s College London, University of California, Davis, and Universidad Complutense de Madrid, and maintains active research collaborations across Europe and Japan. He serves as associate editor of the Journal of Intelligent Transport Systems and has guest-edited special issues for other respected journals. He is a member of the AED12 TRB Standing Technical Committee on Computational Methods and Analytics. Through his research, teaching and service, Achille is committed to advancing mobility that is effective, efficient, equitable and sustainable.