Smart Technologies for Traffic Lights

Every aspect of life is becoming smarter and that includes traffic lights. The American traffic lights that have remained essentially unchanged for 100 years, are now affected by machine learning. The result is an efficient and safer transportation world. Preemption of traffic signals, for example can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic signals and e-bike/scooter sensor can automatically time stoppages so that modern traffic technologies they align with commuters’ travel schedules.

IoT sensors and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data gathered from cameras and sensors can be processed within the device itself or sent to a hub for traffic management which will then be integrated into AI algorithms. The result is a more precise modeling and a predictive analysis that can prevent congestion, coordinate schedules for public transit and reduce carbon emission.

These technologies are transforming urban transportation systems. Smart e-bike/scooter sensor for instance, can identify and communicate location of personal vehicles shared by others to make ride sharing more comfortable. Micromobility payment systems, on the other hand allow on-street parking and road tolls, without the need for a change in the right amount.

IoT smart traffic technology could also improve public transit efficiency, making it easier for commuters to track trams and buses in real time using live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles to ensure they arrive at their destination quicker this is a major breakthrough that has already reduced crash rate in certain cities.