Research projects Road and public transport
The concentration of people and activities in urban areas provide great values and opportunities but also challenges for mobility, including congestion, crowding, and environmental impacts. The Urban Mobility group aims to tackle these problems through the development of methods based on statistical analysis, network modelling, computer simulation and optimization approaches for understanding, monitoring and managing dynamic urban transport systems. To increase the effectiveness and resilience of the urban transport system, an important area is the development of methods for extracting useful information from dedicated and opportunistic traffic and mobility sensors. Particular attention is on the design, planning and operations of public transport systems, including the development of automated, intermodal and demand responsive services.
Research projects
The division is currently active in the following research projects. Follow the blue links to read more:
- Modelling the relations between crowding at transfer nodes and vehicles
- Estimating travel patterns and the impacts of fare schemes for different user groups in Stockholm based on smartcard data (FairAccess)
- iMobility Lab
- iQMobility Automated Bus Services
- MMiB Modern Mobility in Barkaby
- Prediction and scenario-based traffic management (POST)
- Optimal ramp metering strategies for the Swedish motorways
- Sara1
- Pre-study: Simulation and visualization platform for Automated Vehicles and Mobility Services (SIMnVIS)
- Simulation and Modeling of Automated Road Transport (SMART)
- Self-driving vehicles and public transport - threats and opportunities
- Car travel times in major cities: variation patterns and experienced uncertainty (VARIA)