Every aspect of life is becoming smarter and that includes traffic lights. Virtually unchanged for more than a century, today’s American traffic signals have entered the age of machine learning. This means a more efficient, safer and greener transportation world. Traffic signal preemption for instance, can aid drivers in avoiding a potentially life-threatening collision. A system that incorporates traffic light and e-bike/scooter sensors can automatically time stops so that they align with commuters’ travel plans.

IoT sensors and connectivity technology allows more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based upon real-time conditions. The data that sensors and cameras can either be processed within the device or sent to a hub for traffic management and then integrated into AI algorithms. The results are more precise analysis and predictive modeling to reduce congestion, align public transit schedules and reduce carbon emissions.

These smart technologies can transform urban transportation systems. Smart e-bike/scooter sensors, for example, can detect and transmit the location of shared vehicles for more convenient ride-sharing micromobility payment systems can facilitate parking on the street and road toll payments without the need for a change.

Smart traffic technology that is based on IoT can also enhance the efficiency of public transportation, allowing commuters to track buses and trams in real-time via live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so that they can get to their destination more quickly This is a breakthrough that technologytraffic.com/2020/05/01/modern-traffic-technologies-by-board-room has already reduced the number of crashes in some cities.