How can data-driven systems deliver reliable, equitable, and integrated travel across all modes?
This topic focuses on the orchestration of multimodal networks—uniting shared, automated, and public transport with intelligent traffic and demand management. It explores how AI, Digital Twins, and real-time platforms can shift operations from reactive to predictive, making journeys smoother and more accessible. It also addresses the policy and infrastructure foundations needed to scale MaaS, ensure inclusivity, and support seamless, user-centric mobility across cities, regions, and borders.
Key subtopics
- Demand management for efficient and user-centric mobility systems
- Inclusive and equitable transport services
- Secure and resilient network efficiency
- The role and development of mobility as a service (MaaS) and integrated transport
- Impact and deployment of automated vehicles on multimodality
- Digital interactive orchestration of networks
- Digital Twins, modelling & simulation
- Emerging technologies for enhancing mobility system management