(EU. June 5, 2025) – Embarking on its sixth edition, the Rapid Applications for Transport (RAPTOR) programme by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union, is set to drive testing of sustainable urban mobility solutions across Europe. 

Thirteen varied cities spanning as many countries are part of this year’s initiative, demonstrating their dedication to addressing pressing urban mobility needs. Each city has put forward a key mobility challenge they are facing, and EIT Urban Mobility selected top European SMEs/startups to provide a solution. The mobility solution pilots will run until the end of November 2025 in each city allowing for testing, citizen engagement and feedback on the solutions. 

The RAPTOR programme represents a challenge-oriented platform designed to specifically tackle niche urban mobility issues identified by participating cities. Startups and SMEs are invited to propose innovative solutions to these challenges, with winners receiving €40,000 in funding to pilot their solutions over a six-month period within the city. Through these programmes, European mobility startups are able to showcase their solutions while collaborating with the city to develop innovations that meet citizens’ needs in this complex sector. 

Adriana Diaz, Director of Innovation, EIT Urban Mobility: ““With RAPTOR entering its sixth edition, we reaffirm our commitment to creating a dynamic platform where cities and startups co-create practical mobility solutions. This year’s reach across thirteen cities exemplifies how targeted innovation, driven by local challenges, can lead to tangible improvements in the daily lives of citizens. It is this agility and responsiveness that make RAPTOR a unique engine for transforming urban mobility across Europe.”  

The 2025 city challenges along with the winning startup/SME and their solutions are: 

Aarhus, Denmark – How can Aarhus gather data and effectively manage accessible parking spaces, enhancing equality and independence for residents with disabilities?  

GoodVision from Czechia introduces an AI-powered curbside parking management system that leverages smart camera analytics to monitor parking space usage, detect accessibility violations and provide real-time availability updates. By optimising curbside parking, the project aims to enhance mobility for people with disabilities, ensure efficient space utilisation, and support inclusive urban planning. 

Belgrade, Serbia – How can Belgrade improve pedestrian and cyclist safety on key walking and cycling routes?  

Seedia from Poland will test its smart information totem which uses AI algorithms and data analysis, to enable real-time traffic flow monitoring, data gathering on the use of pedestrian, bicycle, and scooter lanes. By using AI, the totem is able to recognise different types of vehicles, not only scooters and bikes but also pedestrians, and analyse how each type moves through the city.  

Dublin – Dun Laoghaire-Rathdown County, Ireland – How can we safely provide EV charging for residents without driveways, integrating infrastructure seamlessly with public footpaths while meeting health and safety standards?  

Kerb-e from the United Kingdom will demonstrate how their modular and unobtrusive on-street charging solution of the same name can improve public charging access in Dublin while preserving pedestrian pathways, reducing infrastructure costs, and supporting the city’s net-zero goals.  

Greater Manchester, United Kingdom – How can Greater Manchester leverage data-driven decision-making to enhance the efficiency, safety, and sustainability of its multimodal transport network?  

Moonbility from the United Kingdom will develop GreenRipple, a multimodal digital twin platform to monitor transport networks in real-time. It will integrate data from buses, trams, trains, bike hires, and private vehicles to detect unplanned disruptions and visualise their propagation across the network. A carbon emission shifting model will show how travel decisions change during disruptions 

Mannheim, Germany – How can Mannheim reduce parking pressure in public spaces by facilitating underutilised private parking areas?  

GoSpace from Slovakia will deploy ParkingAround, a smart parking management platform designed to reduce parking pressure in public spaces by unlocking the potential of underused private parking spots in residential buildings, offices, and commercial areas by connecting drivers looking for parking with private space owners through an easy-to-use digital platform.  

Nantes, France – How can Nantes offer renting services such as carts, cargo bike, Light Electric Vehicle (LEV), and/or others services in order to help people live / move without a car?  

Sanka Cycle from France will pilot their comfortable and safe quadricycle cargo bike that allows for riding where infrastructure hasn’t been designed for bicycles as an alternative to the second car in suburban areas. The Sanka BOB cargo bike is designed for everyday life, making it easy to pick up children from school, run errands, and commute to work. 

Nicosia, Cyprus – How can Nicosia efficiently optimise waste collection routes and reduce emissions?  

Omnia Smart Technologies from the United Kingdom will introduce AIOne, a smart waste management platform that uses real-time data, GPS tracking, and AI-driven route planning to ensure more efficient, sustainable and cost-effective waste collection while supporting the Nicosia’s PAYT system through RFID-tagged bins and a collection-on-demand app.  

Podgorica, Montenegro – How can Podgorica best gather data about mobility related CO2 emissions in order to best plan for climate neutrality?   

TEA Group from Italy will integrate data from monitoring stations with that of meteorological stations, and satellite observations, leveraging AI-powered data fusion and predictive models. Based on these datasets, the solution will be able to provide local authorities with access to real-time and historical data, pollution trends forecasts and actionable recommendations, such as adjustable speed limits and traffic restrictions.  

Poznań, Poland – How can Poznań provide real-time information to public transport users regarding sudden route changes and disruptions, enhancing the reliability and convenience of the city’s transit system?  

MOVIRO from Germany will leverage its Transit Orchestration platform which integrates public transit data to identify route deviations and generate real-time route updates that will then be published via Poznań’s public transit app and website. The solution aims to enhance passenger satisfaction in the short term and drive increased passenger volume over time.  

Tauragė, Lithuania – How can the city of Tauragė assess its bus stop infrastructure to optimise its management and increase public transport usage?   

Univrses from Sweden will deploy its AI-powered system SMART 4 BUS to analyse video footage from bus-mounted cameras to assess the condition of bus stops. Using computer vision and machine learning, the system automatically identifies, counts, and evaluates bus stops, detecting damage or maintenance needs in real-time helping authorities to prioritise repairs, reduce manual inspections, optimise budgets, and improve passenger safety.  

Thessaloniki, Greece – How can Thessaloniki effectively collect and use data on urban freight to strategically meet CO2 reduction target?  

Mobito from Belgium will provide the data infrastructure and secure access to freight data, acting as the orchestrator for integrating and harmonising this information into Thessaloniki’s urban planning systems. By securely aggregating various fleet’s data, Mobito will generate CO2 emissions insights and traffic flow analytics, enabling the city to unlock critical insights to optimise freight operations and reduce environmental impact.  

Trondheim, Norway – How can Trondheim municipality implement real-time monitoring and reporting of loading and unloading zones to optimise last-mile deliveries?  

Digital Reflections from the United Kingdom will implement a GDPR compliant monitoring system for loading zones using LiDAR sensors that constantly measure the loading bays to understand availability, size of vehicle using the space and monitor traffic flow passing the loading bay. The system will classify vehicle types, track usage patterns, and provide real-time updates on zone availability, helping authorities make data-driven decisions.  

Utrecht, Netherlands – How can Utrecht optimise its Park & Ride (P&R) system so more commuters and visitors use it?  

Umob from the Netherlands will pilot its solution to optimise the P&R system by providing platform features that allows users to search, book and use all transport mode offerings from the same app, streamlining the experience and making trip planning easier. The solution also incentivises P&R usage through providing combi-tickets that includes parking and public transport and utilising in-app prompts to overcome common barriers to uptake such as a lack of visibility, poor marketing, limited transport options and availability throughout the day.  

For more information on the RAPTOR Programme visit: https://raptorproject.eu/