Everything’s getting smarter these days, including traffic lights. The American traffic lights which have remained virtually unchanged for over a century now are now dependent on machine learning. The result is a more efficient more sustainable, safer and greener transport world. Traffic signal preemption technology for instance, can help drivers avoid the possibility of a fatal collision with pedestrians. A system that integrates traffic lights and e-bike/scooter sensors will automatically schedule stoppages to coincide with commuters’ daily schedules.
IoT sensor and connectivity technology helps to build intelligent traffic control systems that maximize energy efficiency through optimizing signal timings in real time. The data that sensors and cameras technologytraffic.com/2020/05/01/modern-traffic-technologies-by-board-room can either be pre-processed in the device itself or transmitted to an infrastructure for traffic management, where it will be integrated into AI algorithms. The results are more precise analysis and predictive models to avoid congestion, coordinate public transportation schedules, and reduce carbon emissions.
These technologies are smart and could transform the urban transport system. Smart e-bike/scooter sensors for instance, could detect and share the location of personal vehicles shared by others to make ride sharing more convenient. Micromobility payment systems on the other hand allow on-street parking and road toll payments with no requirement for accurate change.
Smart traffic technology based on IoT can also improve the efficiency of public transport which allows commuters to follow buses and trams in real time by using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to assist them get to their destination faster – an innovation that has already drastically reduced the number of crashes in certain cities.