Scope

Managing mobility at all scales is a pressing issue of our societies. Advances in technologies and computer science such as AI, autonomy and data science are rapidly changing the dynamics, modelling, operations and planning of transportation networks. At the same time, we still have to face the usual critical issues of transportation systems such as travel demand growth, impacts on climate change and vice versa, spatio-temporal inequality and accessibility.

The Transportation Systems Modeling section covers all scientific, fundamental and methodological aspects of transportation systems considering all modes of transport, on topics related to optimization, control, networks and new technologies as they relate to all facets of transportation modelling. Transportation Systems plays a major role in human mobility and covers different areas including, but not limited to:

1. Shared Mobility Operations
2. Connected and Autonomous Vehicles
3. Vehicular & Pedestrian Traffic Flow
4. Travel Demand & Activity Models
5. Macroscopic Flow Models
6. Network Capacities (Bottlenecks,...)
7. Multimodal Network Management and Traffic Control
8. Dynamic Traffic Assignment
9. Calibration and Validation of Transportation Models
10. Emerging data technologies to support traffic management application
11. Climate change impacts on transportation systems
12. Resilient Transportation Systems

All studies should include methodological or applied contribution at the network or flow level. Aspects related to logistics, environment, communication (focusing on wireless networking aspects) or vehicle automation (e.g. vision) should be submitted to the other sections of the Frontiers in Future Transportation Journal.

Submission

Copyright Statement