Imagine a digital air-traffic control system, but for city streets. It helps self-driving cars, buses, bikes, and regular drivers talk to each other in real-time to avoid jams. This means fewer red lights and smoother trips for everyone moving through the city.
Cities struggle to manage the transition where autonomous vehicles and human-driven cars share the same roads. This leads to traffic congestion, safety risks, and inefficient use of urban space.
A multi-layer orchestration system for traffic management and a C-ITS data exchange tool for real-time vehicle coordination.
If you are a ride-sharing platform dealing with unpredictable city congestion — this project developed an AI-enabled traffic management system that provides personalized travel recommendations. This allows your fleet to avoid bottlenecks and improve passenger arrival times.
If you are a municipal traffic authority dealing with the chaotic mix of AVs and human drivers — this project developed a multi-layer orchestration system. It enables secure data exchange to reduce traffic inefficiencies across 7 demonstration sites.
If you are a last-mile delivery service dealing with inefficient urban routing — this project developed a collaborative traffic management tool. It integrates goods transport with other mobility modes to lower operational costs and congestion.
Based on available project data, no pricing or cost information is provided as the project is EU-funded.
The project includes an upscaling methodology and will be tested across 7 different demonstration sites to ensure it works in diverse urban environments.
Based on available project data, specific licensing terms are not listed, though it follows EU directives and standards.
It uses a C-ITS (Cooperative Intelligent Transport Systems) architecture to allow active data exchange between vehicles and traffic management systems.
The project runs from 2025-07-01 to 2028-12-31, with deployment occurring across 7 demo sites during this period.
The consortium is heavily weighted toward commercial application, with 15 industry partners (including 12 SMEs) making up 42% of the group. With 36 partners across 9 countries, the project has a strong cross-border footprint, combining academic research from 4 universities and 6 research centers with practical industrial implementation.
Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece
Contact us to connect with the CHORUS consortium for pilot opportunities.
