If you are a city authority dealing with urban smog and gridlock — this project developed a decision support system that could reduce CO2 emissions by up to 280,000 tons annually in cities like Paris.
AI-Driven Traffic Orchestration System to Reduce Congestion and Emissions in Mixed Vehicle Traffic
Imagine a digital air-traffic controller for city streets that suggests the best routes to drivers in real-time. It balances the needs of human drivers and self-driving cars to stop traffic jams before they happen. Instead of forcing a route, it gives a helpful suggestion via an app, leaving the final choice to the person.
What needed solving
Traffic congestion creates massive economic losses and environmental damage, exacerbated by the unpredictable mix of human drivers and autonomous vehicles.
What was built
A decision support system and orchestration logic delivered via smartphone apps and dashboards to manage mixed traffic flows.
Who needs this
Who can put this to work
If you are a vehicle manufacturer dealing with the chaos of mixing Level 4 autonomous cars with human drivers — this project developed an orchestration logic that improves traffic efficiency and safety for both types of vehicles.
If you are a navigation app provider dealing with inefficient routing — this project developed smartphone-accessible dashboards that can help reduce individual travel time by 10-15 hours annually.
Quick answers
What is the estimated cost or price of the system?
Based on available project data, specific pricing or implementation costs are not provided.
Can this be scaled to an industrial level?
Yes, the project is designed for large-scale impact, targeting a potential saving of €10 billion for European society through improved traffic efficiency.
How is the IP and licensing handled?
Based on available project data, the specific licensing models are not detailed, though the project focuses on creating proven business and governance models.
What regulations does this address?
The project focuses on governance and safety for mixed traffic, specifically integrating manually driven and up to level 4 autonomous vehicles.
When will the results be available?
The project runs from May 1, 2025, to April 30, 2028.
How does it integrate with existing hardware?
The system is designed to be accessible via smartphone apps and online dashboards for traffic managers.
Who built it
The consortium is well-balanced for commercialization, featuring 12 partners across 6 countries. With a 33% industry ratio (4 industrial partners, including 4 SMEs), there is a strong link between the 5 research entities and the actual market. The presence of SMEs suggests a focus on agile implementation and scalable software solutions.
Contact Virtual Vehicle Research GmbH in Austria
Talk to the team behind this work.
Contact us to explore partnership opportunities with the CARMONY consortium.