Challenge
One significant challenge in this project is developing a comprehensive and adaptive traffic management system – a solution that is crucial to achieving the desired outcomes of reduced congestion, prioritized emergency services, and shorter travel distances.
Solution
We developed a cloud-based software platform that uses state-of-art connected vehicle and machine learning technologies to prioritize the flow of vehicles in a city and across the corridor. To control the situation on intersections and routes, the alerts system was implemented to provide notifications of faulty traffic lights, defective GPS systems in transport.
Results
Optimized public transport, emergency and other vehicle system which enables a 15-30% reduction in travel times public transportation users and 10-25% for the general population, a 40% reduction in response times during emergencies, a 10-20% improvement in air quality, and overall reliability of mass transit systems.
