regioKArgoTramTrain
Jointly moving people and goods
regioKArgoTramTrain
Jointly moving people and goods
Start: 11/2023
End: 12/2027
How can urban delivery traffic be reimagined? How can existing transport infrastructure be used to reduce emissions in logistics? In regioKArgoTramTrain, existing tram tracks are used for the combined transport of passengers and goods. With the help of AI, real-time data, and automation, urban logistics are becoming more efficient, climate-friendly, and suitable for everyday use.
regioKArgoTramTrain is developing an innovative concept for using existing tram infrastructure for the combined transport of passengers and goods. The aim is to make urban delivery traffic more sustainable, lower in emissions, and reduce traffic congestion.
Autonomous loading units, sensor-based real-time tracking, and AI-supported assistance systems provide intelligent support for the entire transport process – from loading and unloading to the last mile. The solution offers logistics service providers an economical alternative to traditional delivery models, strengthens innovation in public transport, and improves the quality of life in cities.
regioKArgoTramTrain opens new avenues for efficient and environmentally friendly delivery that complements traditional courier, express, and parcel services. Using existing tram infrastructure creates additional sustainable vehicle applications and promotes digital innovation in local public transport, for example, through new assistance systems and flexible vehicle concepts. Cities benefit from less traffic and emissions and position themselves as livable, future-oriented spaces.
Role of the FZI
The FZI is developing an intelligent real-time tracking component to continuously track loading units throughout the entire delivery process. AI-based prediction models are a central component of the real-time tracking component. These support the automated loading and unloading process by, for example, accurately predicting arrival times and the utilization of multifunctional compartments. This allows transport to be controlled intelligently – without compromising passenger comfort. In addition, a deviation management system is designed to ensure punctual and reliable delivery even in the event of disruptions. A mobile application and a dashboard provide all relevant transport data and arrival forecasts in a user-specific format, enabling efficient last-mile planning.
Contact
Christoph Becker
Department Manager
Division: Intelligent Systems and Production Engineering
- +49 721 9654-606
- Christoph.Becker@fzi.de
- Headquarters Karlsruhe
Research Focus
Applied Artificial Intelligence
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
Intelligent Transportation Systems and Logistics
Smart solutions for the transportation of people and goods are a focus of FZI research to shape mobility in the future. To this end, the FZI develops integrated mobility systems – from vehicle automation and the application of AI in traffic systems to urban mobility and logistics.
Funding notice:
The regioKArgoTramTrain project is funded by the European Regional Development Fund (ERDF) as part of the RegioWin program and by the Baden-Württemberg Ministry of Economic Affairs, Labour, and Tourism.
Project partners:
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