Smart Technologies for Traffic Lights

Traffic lights are no exception. Almost unchanged for more than 100 years, modern American traffic lights are now in the age of machine learning. The result is an efficient, safer and greener transportation world. Technology for preemption of traffic signals, for example, can help drivers avoid a life-threatening collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors will automatically time stoppages so that they align with commuters’ timetables.

IoT sensor and connectivity technologies enable smarter traffic control systems that maximize energy efficiency by optimizing signal timings based on real-time conditions. The data collected by sensors and cameras can be pre-processed on the device or sent to a traffic management hub 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 emissions.

These advanced technologies could change the way we travel in urban areas. Smart sensors for e-bikes and scooters, for about his example can detect and communicate location of personal vehicles shared by others to make ride sharing more efficient. Micromobility payment systems, on the other hand permit on-street parking or road tolls with no requirement for changing the correct amount.

Smart traffic technology based on IoT can also improve the efficiency of public transport which allows commuters to follow buses and trams in real time through live tracking apps. Intelligent intersection technology can help prioritize emergency vehicles so they arrive at their destination quicker this is a major breakthrough that has already reduced crash rate in certain cities.