Mobility in major European capitals, including Lisbon, is not yet sustainable. The Lisbon City Council (CML) has established initiatives to integrate various available urban data sources, including road traffic from fixed and mobile sensors, demand across the public transport network (bus routes, metro, trains, bicycles, ferries, and new light vehicles), and their situational context. This situational context includes significant events (conferences, sporting and cultural events), accidents, roadworks, urban planning, weather, and citizen notifications via the "Na Minha Rua" app, among others. Despite these efforts, the potential knowledge contained within this data remains untapped.

 

The ILU project (Integrative Learning from Urban data) proposes to address three major challenges:

• The lack of an integrative analysis capable of combining different urban data sources collected from city sensors and fare validations across different public transport modes;
• The absence of situational context in the description, forecasting, and optimization of urban mobility;
• The importance of responding dynamically to continuous changes in city mobility, including disruptive changes within a pandemic context.

• Consolidate various mobility and context data sources available on the Lisbon Intelligent Management Platform (PGIL) to enable a multimodal and context-sensitive analysis of city mobility;
• Discover mobility patterns from these urban data sources, focusing on emerging city dynamics and correlations between traffic and its situational context;
• Anticipate traffic congestion and public transport access issues in a context-sensitive manner;
• Support context-sensitive mobility decisions, including transport network optimization (e.g., routing) and studying the impact of alternatives to traffic light control.

The project's contributions will be made available to the CML through an urban data analysis and decision support system, which may operate via the National Distributed Computing Infrastructure (INCD).

 

The ILU project will drive data-centered mobility management that is more dynamic, focused on citizen needs, and capable of enabling more objective, transparent, and effective coordination between authorities, municipalities, and public transport operators.