Control of transport systems
The emerging information and communication infrastructures in the traffic systems give completely new ways of improving the efficiency and safety of transport.
Cars, trucks and buses are used as probes for measuring the current traffic situation, taken as real-time inputs to routing and speed advice optimizations; vehicles communicate and cooperate to better utilize the road network, for example by forming autonomous platoons on the highway; entire fleets of vehicles are managed, coordinated and controlled to deliver goods and passengers at their destinations while using as little energy as possible.
We study many applications of connected and automated vehicles and transport systems, where we apply methods from classical, optimal and model predictive control, but also learning-based algorithms and graph-search methods. The research is applications-driven and we collaborate extensively with automotive and telecom industries. Topics include:
- Longitudinal and lateral vehicle control, including drive-train and gear-shifting
- Collaborative and coordinated control of vehicle platoons
- Motion planning, including speed planning for fuel efficiency
- Routing and coordination of vehicle fleets, for example to enable platooning