Agent-based computing will play a fundamental role in intelligent, autonomous transport systems of the future. Such systems will capable of continuously and autonomously optimizing their operation so as to fulfil mobility needs of their users in most convenient, economical and environmentally-friendly ways. We study and develop a range of techniques that will underpin future transport systems, including agent-based modelling of multi-modal transport systems, personalized resource-aware journey planning, auctions and negotiation mechanisms for flexible transport markets, vehicle-to-vehicle coordination and cooperation techniques as well as game-theoretic optimization of transport security measures.

Contact person:  Michal Jakob

Learn more about  Agent-based Computing for  Intelligent Transport systems