Research at the TSE Lab helps to improve our understanding between the real-world operation of transport systems and their measurable social, economic and environmental impacts.
Our research in automated taxi routing problems includes areas such as multiclass traffic assignment, taxi fleet optimization, trip-vehicle assignment, and vehicle route planning. We have a particular focus on shared automated taxi routing in dynamic transportation networks, aiming to provide door-to-door mobility service for travelers and enable ride-sharing among different requests.
Key Capabilities: - Vehicle routing optimization - Vehicle fleet management - Traffic congestion impacts analysis - System performance evaluation
We devote to designing transferable and self-adaptive models to handle the dynamic changes and data insufficient problems in short-term traffic prediction. Both model and sample based transfer strategies are investigated to reveal the rules of transferable features, and deal with a seires of complex and volatile scenarios in traffic state estimation.
Key Capabilities: - Transfer learning - Domain adaptation - Self-adaptive model
Our research in green urban logistics includes areas of goods transportation in urban areas with respect to environmental impacts, diverse goods-dependent transport requirements. We have a particular focus on resilience and robust intervention strategies in the face of urban freight traffic regulations and real-time traffic conditions.
Key Capabilities: - Last mile delivery - Green supply chains - Warehousing and distribution - Inventory management - Fleet management - Emission monitoring
Truck fuel economy map in urban networks of London