Everything’s getting smarter these days, including traffic lights. For the most part, unchanged for over 100 years, the current American traffic lights are now in the age of machine learning. The result is a more efficient safe and environmentally friendly transportation world. Technology for preventing traffic signals, for example technologytraffic.com/2021/12/29/generated-post-3/ can assist drivers in avoiding the possibility of a fatal collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors will automatically schedule stoppages to coincide with commuters’ travel schedules.
IoT sensor and connectivity technology allows intelligent traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data collected from sensors and cameras can either be pre-processed in the device itself, or sent to an infrastructure for traffic management, where it will be integrated into AI algorithms. The results are more precise analysis and predictive modeling to avoid congestion, set public transportation schedules, and reduce carbon emissions.
These technologies are transforming urban transport systems. Smart e-bike and scooter sensors, for instance, can identify and communicate the location of shared personal vehicles for more convenient ride-sharing while micromobility payment systems enable street parking and road toll payments without the need for correct changes.
Smart traffic technology based on IoT can also enhance the efficiency of public transit by allowing commuters to track buses and trams in real time through live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they can get to their destination more quickly This is a breakthrough that has already reduced crash rate in some cities.