Abstract
We design advanced models and algorithms to improve urban logistics in smart, sustainable ways. Unlike most logistics tools, our focus is entirely on cities. Urban rules such as traffic regulations, car-free zones, delivery time slots, and vehicle restrictions have a big impact on how goods can move. Our algorithms take these factors into account, helping both companies and city governments plan more effectively.
The project targets four key logistics flows: waste collection, construction materials, hospitality and health deliveries (to hotels, bars, retirement homes, and so on), and grocery delivery. For each of these flows, we develop tailored optimization algorithms that combine cutting-edge heuristic techniques with solid economic analysis. The tools support decision-making at strategic, tactical, and operational levels.
We also study how companies can collaborate more effectively in city logistics. In addition, we examine how mobility policies, such as delivery bans or designated loading zones, affect daily operations. This allows us to assess both the economic consequences and the impact on livability, offering clear insight into the trade-offs involved.
A key part of our approach is the development of a shared foundation. This includes data models and algorithmic components that can be reused across different logistics scenarios. This "common trunk" makes it easier to adapt and scale our tools to new use cases and cities. Our goal is to create flexible, science-based solutions that help logistics evolve with the changing urban environment.