CASPT & Transit Data 2027: The 17th International Conference on Advanced Systems in Public Transport (CASPT2027) & 12th International Workshop and Symposium on Research and Applications on the Use of Passive Data from Public Transport (TRANSIT DATA) KTH Royal Institute of Technology, Stockholm Stockholm, Sweden, June 21-24, 2027

The 17th International Conference on Advanced Systems in Public Transport (CASPT2027) will be held in Stockholm, Sweden, from 21 to 24 June 2027, hosted by the KTH Royal Institute of Technology. It will be organized in conjunction with the 12th International Workshop and Symposium on Research and Applications on the Use of Passive Data from Public Transport (TRANSIT DATA).

Together, CASPT & Transit Data 2027 will bring together researchers, practitioners, and policymakers to discuss the latest advances in methods, models, data, and technologies for improving public transport systems. The conference continues the long-standing tradition of integrating scientific excellence with practical applications that support sustainable and resilient mobility.

Submission Guidelines

CASPT & Transit Data 2027 invite the submission of original contributions on all aspects of public transport planning, operations, control, policy, and data-driven innovation. Two types of papers can be submitted. Regular scientific papers (research track) and practitioner-oriented work (practitioner track), showcasing practical insights, or innovative applications that may not yet be developed into full papers. Please make sure to indicate your track choice during submission in easy chair.

• Research track: Original and complete research contributions with a page limit of up to 8 pages. Accepted papers will have a regular conference presentation.
• Practitioner track: Case studies, software packages, implementation experiences, or emerging methodologies of interest to both academics and practitioners with a page limit of up to 4 pages. Accepted papers will have a short presentation in practitioner focused sessions. Please note that purely marketing-focused submissions cannot be accepted.

List of Topics

Topics of interest include, but are not limited to:

• Planning and Design
  • Network design, service planning, and timetable optimization
  • Fleet planning, vehicle and crew scheduling, and resource allocation
  • Assess planning, infrastructure and facilities planning, including terminals and interchanges
  • Integration of public transport with on-demand , shared, electric, automated mobility services
• Operations, Control, and Management
  • Real-time monitoring, control, and reliability improvement
  • Robust and flexible operations under uncertainty and disruption
  • Traffic management, synchronization, and adaptive control strategies
  • Demand management and information provision (e.g., disruptions, crowding, public health)
  • Facilities and asset management, including rolling stock, depots, and switches
• Technology, Data, and Computing
  • Intelligent Transport Systems (ITS) applications in public transport
  • Simulation, digital twins, and visualization for analysis, control, and decision support
  • Operation research methods and AI/ML/LLM algorithms for public transport systems
  • Data quality, security, privacy, and standard for public transport
  • Leveraging synthetic and passively collected data (e.g., smartcard, mobile phone, GTFS) for research and practice
  • Data-driven passenger demand modeling and behavioral analytics
• Energy, Environment, and Sustainability
  • Energy management and electrification of public transport fleets
  • Hydrogen and vehicle-to-grid (V2G) systems in public transport
  • Environmental performance models, emissions reduction/mitigation measures, and noise control
  • Strategies for energy-efficient and low-carbon public transport

Invited Speakers

• Yafeng Yin: Yafeng Yin is Donald Cleveland Collegiate Professor of Engineering and Donald Malloure Department Chair of Civil and Environmental Engineering at University of Michigan, Ann Arbor. His research focuses on the modeling, analysis, and optimization of transportation systems, with emphasis on emerging mobility services, multimodal transportation networks, and intelligent transportation systems. He previously served as Editor-in-Chief of Transportation Research Part C, and currently serves as Area Editor of Transportation Science, Senior Associate Editor of Transportation Research Part B and Co-Editor-in-Chief of AI for Transportation.
• Latifa Oukhellou: Latifa Oukhellou is a Research Director equivalent to Full Professor, at Université Gustave Eiffel (France), where she heads the GRETTIA laboratory (Transportation Networks Engineering and Advanced Computing Laboratory). She also leads the Doctoral School in Mathematics and Information and Communication Technologies. Before joining Université Gustave Eiffel, she was an Assistant Professor at Université Paris-Est Créteil (France). Her research lies at the intersection of statistical learning, data fusion, and urban data analytics, with a particular focus on mobility and transport systems. Her work has advanced data-driven analysis in public transport, passenger behavior, and intelligent transportation systems, establishing her as a leading scholar in transport and mobility data science. She is the author of over 120 peer-reviewed journal publications and over 200 conference contributions, book chapters, editorials, and technical reports in both computer science and transportation.
• Marc Barthelemy: Marc Barthélemy is Research Director at the Institute of Theoretical Physics (IPhT) in Saclay, member of CAMS/EHESS, and external faculty member at the Complexity Science Hub Vienna. His research focuses on complex systems, complex networks, theoretical epidemiology, spatial networks, and urban systems, combining data analysis and modeling within the framework of statistical physics. He has authored over 200 scientific publications and several books on complex and spatial networks and the science of cities. He was awarded the Jean Ricard Grand Prize of the French Physical Society in 2024.
• Margareta Friman: Margareta Friman is a professor of psychology. Her research focuses on transportation psychology, with a particular emphasis on how everyday travel affects subjective well-being, perceived accessibility, and people's opportunities to participate in society. Her work has contributed to a shift in transportation research towards a stronger focus on experiential and psychological dimensions of mobility, including the development of the Satisfaction with Travel Scale and the concept of perceived accessibility. More recently, her research has integrated future-oriented perspectives, examining how factors such as autonomy and hope shape travel behaviors and enable sustainable mobility transitions. Her research contributes to the development of more human-centered and socially sustainable transportation systems. She was awarded the Håkan Frisinger Prize for outstanding transport research.

Publication

Selected high-quality papers will be invited to contribute to special issues in leading international journals in the field of public transport and transportation systems. Details of the partnering journals and submission timelines will be announced later.

Venue

The conference will be held in KTH Royal Institute of Technology, Main Campus, Stockholm.

Contact

For questions, please contact the local organizing committee: caspt-transitdata2027@kth.se