Traffic lights are not an exception. The American traffic lights which have technologytraffic.com/2021/12/29/generated-post-4/ remained virtually unchanged for over a century now are now being influenced by machine learning. This results in a more efficient safer, more secure, and eco-friendly transportation system. Technology for preemption of traffic signals, for example will help drivers avoid dangerous collisions with pedestrians. A system that combines traffic lights and e-bike/scooter sensor can automatically time stoppages to align with commuters’ schedules of travel.

IoT sensor and connectivity technology makes it possible to create smarter traffic control systems that maximize energy efficiency through optimizing the timings of signals in real-time. The data gathered by cameras and sensors can be processed by the device, or sent to a traffic management hub where it is incorporated into AI-based algorithms. The results are more precise analysis and predictive modeling to avoid congestion, coordinate public transit schedules and reduce carbon emissions.

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

Smart traffic technology based on IoT can also enhance the efficiency of public transit and allow commuters to track trams and buses in real-time via live tracking applications. Intelligent intersection technology can assist prioritize emergency vehicles so that they arrive at their destination quicker which has already reduced crash rate in some cities.