Smart Technologies for Traffic Lights

Everything is getting smarter these days even traffic lights. The American traffic lights that have remained nearly unchanged for over 100 years are now being controlled by machine learning. The result is an efficient, safer and greener transportation world. Technology to prevent traffic signals, for example can help drivers avoid a life-threatening collision with pedestrians. A system that combines traffic lights and an e-bike/scooter sensor will automatically time stoppages in accordance with commuters’ travel schedules.

IoT sensor and connectivity technology helps to build intelligent traffic control systems that maximize energy efficiency through optimizing the timings of signals in real-time. The data collected by cameras and sensors can be pre-processed on the device or sent to a traffic management hub, which is then integrated into AI-based algorithms. The results are more precise analysis and predictive models to avoid congestion, set public transit schedules and cut carbon emissions.

These technologies are transforming urban transport systems. Smart e-bike/scooter sensors, for example, can detect and relay the location of personal vehicles shared to make it easier to share rides, micromobility payment systems can facilitate street parking and road-toll payments without needing correct changes.

IoT smart traffic technology could also improve public transit efficiency by allowing commuters to track trams and buses in the benefits of using modern traffic technologies by data room real-time by using live tracking apps. Intelligent intersection technology can prioritize emergency vehicles, allowing them to reach their destination more quickly This innovation has already dramatically reduced crash rates in some cities.