Everything’s getting smarter these days and that includes traffic lights. The American traffic lights which have remained virtually unchanged for a century now are now being affected by machine learning. The result is a faster safer, more secure and environmentally friendly transportation world. Technology for preemption of traffic signals, for example can help drivers avoid dangerous collisions with pedestrians. A system that incorporates traffic lights and e-bike/scooter sensor can automatically time stoppages to align with commuters’ timetables.
IoT sensor and connectivity technology helps to build smarter traffic control systems that maximize energy efficiency by optimizing signal timings in real time. The data that cameras and sensors can be processed within the device itself or transmitted to an appropriate hub for traffic management and then integrated into AI algorithms. The result is a more precise and precise modeling as well as a predictive analysis that can prevent congestion, improve schedules for public transit and reduce carbon emissions.
These technologies are smart and can transform the urban transport system. Smart e-bike/scooter sensors for instance, could detect and communicate the 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 requirement for changing the correct amount.
IoT smart traffic technology can also improve public transit efficiency making it easier for commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles to ensure they arrive at their destination quicker this is a major breakthrough that has already reduced crash rates in certain cities.
https://technologytraffic.com/2022/11/07/successful-ai-tools-for-business-to-test-now/