LUCID

The LUCID – Data intelligence for cities and urban logistics project aims to transform urban logistics by creating a smart platform that optimises route planning, reduces congestion, and improves the use of loading and unloading spaces. Urban areas are increasingly congested, and logistics operations contribute significantly to this, as well as to emissions and fuel consumption. LUCID was inspired by the need for more efficient, sustainable logistics systems that can adapt to the needs of rapidly growing cities.

The main objective of LUCID is to provide a data-driven solution that enhances logistics operations by integrating data from multiple sources, including city public data and private logistics operator data. By employing advanced analytics and machine learning, LUCID’s platform will offer real-time insights that improve decision-making for city planners and logistics operators alike, reducing costs and environmental impact while enhancing urban mobility.

To achieve this, LUCID brings together diverse partners, including businesses, research institutions, educational organisations, and cities, to leverage their collective expertise and resources. The project includes pilot tests in cities like Madrid, Las Rozas, and Prague 7, involving logistics operators to ensure the platform’s effectiveness in real-world settings. Through close collaboration with city planners and policymakers, the project aims to promote policies that support sustainable urban logistics practices.

Launched with the support of EIT Urban Mobility, the project involves a 12-month period during which various teams work together on product development, pilot testing, and commercial strategy. Ultimately, LUCID strives to contribute to cleaner, more liveable cities by reducing urban congestion and emissions and promoting efficient, sustainable logistics solutions for the future.