Imagine a city where self-driving shuttles act like a digital Swiss Army knife. During the morning rush, they move people from their doors to the train station, and during quiet hours, they switch to delivering parcels. It is about making driverless cars actually pay for themselves by keeping them busy all day.
Previous AV projects failed to reach commercial scale because they lacked realistic business models and user-oriented services. This led to expensive experiments that could not survive without subsidies.
A fleet of L4 AVs integrated via open-source APIs into MaaS and LaaS platforms, supported by AI safety monitoring and cross-sector business models.
If you are a transit authority dealing with the high cost of low-occupancy routes — this project developed a system for 15 or more L4 AVs per site that provides on-demand, door-to-door services. This increases efficiency and reduces the need for human drivers on fixed, empty routes.
If you are a delivery company dealing with traffic congestion and high emissions — this project developed Logistics-as-a-Service (LaaS) using automated vehicles. This allows for automated goods transport that can share the same fleet as passenger services to lower operational costs.
If you are a mobility app provider dealing with fragmented vehicle data — this project developed standardized open-source APIs. This enables your platform to integrate different AV brands seamlessly without building custom code for every manufacturer.
It creates cross-sector business models where vehicles are used for both passengers and urban logistics, optimizing vehicle utilization during off-peak hours to ensure economic sustainability.
Yes, the project is deploying 15 or more multi-vendor SAE L4 AVs per site across three European cities to move beyond simple experimentation toward large-scale deployment.
The project is developing open-source APIs for MaaS and LaaS integration to ensure cross-manufacturer compatibility and scalability.
The project focuses on SAE Level 4 automation and is developing AI-driven safety systems for incident detection and passenger monitoring, specifically for vulnerable users.
Based on available project data, it uses a modular open architecture and standardized APIs to integrate AVs into existing Mobility-as-a-Service (MaaS) and Logistics-as-a-Service (LaaS) ecosystems.
The consortium is heavily industry-weighted at 62%, featuring 16 industrial partners and 8 SMEs across 10 countries. This high ratio of commercial entities, led by a regional bus operator (RBO RegionalBus Ostbayern), indicates a strong focus on commercial viability and operational deployment rather than purely academic research.
Contact RBO REGIONALBUS OSTBAYERN GMBH for deployment partnership details.
Contact us to explore licensing the open-source APIs for your mobility platform.
