Objectives of the service
Tunnll aims to revolutionize public transportation in small towns by providing a sustainable, efficient, and car-free mobility solution. The key objectives include reducing waiting times, and minimizing the environmental impact. Tunnll uses a Cyber-Physical System that combines Big Data from OpenStreetMap with real-time GNSS location data to offer a seamless and transit service. The system replaces fixed timetables and bus stops with real-time requests and dynamic meeting points, ensuring that passengers can get to their destinations quickly and conveniently.
Users and their needs
The primary users of Tunnll are residents of small towns with little to no public transportation options. These users include:
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Daily Commuters: Need reliable transportation to work, school, or other daily activities.
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Occasional Travelers: Require transportation for errands such as grocery shopping, medical visits, and social engagements.
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Essential Workers: Need dependable transit for irregular or late shifts.
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Non-Drivers: Individuals who do not own a car or cannot drive, such as teenagers and elderly people.
The main challenges are long waiting times, limited access to essential services, and dependence on personal vehicles.
Service/ system concept
Tunnll provides a next-generation public transportation system that uses advanced geospatial and resource allocation algorithms to optimize passenger walking routes and dynamic meeting points along fixed bus routes. The system consists of a passenger mobile app for ride reservations, a backend software system for bus dispatching, a digital twin processing system for virtual network representation, and a GNSS-based bus monitoring system for real-time tracking. Passengers use the app to reserve rides, receive notifications, and navigate to dynamic meeting points, ensuring comfortable waiting times and efficient travel.
Space Added Value
Tunnll leverages satellite navigation (GNSS) to provide accurate real-time tracking and efficient pedestrian navigation. This integration provides precise location data for passengers and buses, allowing the system to adjust meeting points dynamically based on real-time demand. Such approach offers significant advantages over traditional public transport systems by reducing operational costs and improving service reliability.
Current Status
The Tunnll project is currently in the development phase, focusing on the integration and testing of its core components. Significant progress has been made in developing the backend software system, passenger mobile app, and digital twin processing system. Pilot tests are planned in selected small towns in Sweden and the Czech Republic to gather user feedback and validate system performance. Key achievements include the completion of the EUHubs4Data project and successful negotiations with several municipalities for pilot demonstrations.
Prime Contractor(s)
