Everything’s getting smarter these days and that includes traffic lights. The American traffic lights that have remained nearly unchanged for more than 100 years, are now dependent on machine learning. This results in a more efficient safer, more secure, and environmentally friendly transportation world. Traffic signal preemption technology, for example can help drivers avoid dangerous collisions with pedestrians. A system that combines traffic lights and an e-bike/scooter sensors can automatically time stoppages in accordance with commuters’ travel schedules.

IoT sensors and connectivity technology allows intelligent traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data collected by cameras and sensors can be technologytraffic.com/ processed on the device or transmitted to a traffic management hub, which is then integrated into AI-based algorithms. The results are more precise modeling and predictive analysis to avoid congestion, coordinate public transit schedules and reduce carbon emissions.

These innovative technologies could transform urban transport systems. Smart e-bike/scooter sensors, for instance, are able to detect and transmit the location of personal vehicles shared for more convenient ride-sharing while micromobility payment systems allow on-street parking and road toll payments without the need for correct change.

Smart traffic technology that is based on IoT can also improve the efficiency of public transport by allowing commuters to track buses and trams in real-time through live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles in order to help them reach their destination more quickly – an innovation that has already dramatically reduced the rate of crashes in a few cities.