Everything’s getting smarter these days and that includes traffic lights. Virtually unchanged for more than 100 years, modern American traffic signals are now in the age of machine learning. This means a more efficient more sustainable, safer and greener transport world. Technology to prevent traffic signals for instance, can help drivers avoid the possibility of a fatal collision with pedestrians. And a system that integrates traffic light and e-bike/scooter sensors will automatically time stops so that they align with commuters’ schedules.
IoT sensor and connectivity technologies help smarter traffic control systems to maximize energy efficiency by optimizing signal timings based on real-time conditions. The data collected by cameras and sensors can be processed on the device or transmitted to an infrastructure for traffic management, where it is incorporated into AI-based algorithms. The results are more precise modeling and predictive analysis to prevent congestion, align public transit schedules and reduce carbon about his emissions.
These smart technologies can transform urban transportation systems. Smart sensors for e-bikes or scooters for instance, can detect and transmit the location of shared vehicles to make ride-sharing more practical. Micromobility payment systems on the other hand permit parking on the street or road tolls without the need for correct change.
Smart traffic technology based on IoT could also increase the efficiency of public transit and allow commuters to track buses and trams in real-time through live tracking apps. Intelligent intersection technology can prioritize emergency vehicles, allowing them to get to their destination faster This innovation has already dramatically reduced the rate of crashes in a few cities.
