Future Mobility Lab

The Future Mobility lab (FMlab) is focusing on developing advanced data driven models for solving some burning real-world problems such as traffic congestion, smart city liveability, mobility fluidity, and transitioning towards new emerging transport modes such as connected and autonomous vehicles, on-demand transport, vehicle-to-vehicle and vehicle-to-infrastructure communications. The research areas that the lab is working on are spanning from: - Digital Twins, - AI prediction modelling, - Electric Vehicles modelling - Origin-to-destination demand estimation and prediction - Traffic simulation and optimization using machine learning and artificial - intelligence, - Incident management - prediction and response plan evaluation, - Traffic control optimisation using genetic algorithms, - Public transport assignment, - Train and bus delay performance evaluation, - Large scale visualisation platforms for both real-time traffic management or data analytics, - Congestion prediction using deep learning and graph modelling - Air quality and pollution investigation through data science. - demographics modelling.