Every aspect of life is becoming smarter and that includes traffic lights. For the most part, unchanged for over 100 years, modern American traffic lights are now in the age of machine learning. The result is an efficient safe and environmentally friendly transportation world. Preemption of traffic signals for instance, can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic signals and e-bike/scooter sensors will automatically time stoppages to align with commuters’ daily schedules.
IoT sensor and connectivity technology makes it possible to create intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data collected technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room/ by sensors and cameras can be processed on the device or transmitted to a traffic management hub, which then integrates it into AI-based algorithms. The results are more precise modeling and predictive analysis to reduce congestion, align public transit schedules and cut carbon emissions.
These innovative technologies could transform urban transportation systems. Smart sensors for e-bikes and scooters, for example can detect and communicate location of shared personal vehicles to make ride sharing more practical. Micromobility payment systems on the other hand allow on-street parking and road toll payments with no need for a change in the right amount.
IoT smart traffic technology could also increase the efficiency of public transport, making it easier for commuters to track buses and trams in real time using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to assist them get to their destination quicker This innovation has already dramatically reduced the number of crashes in certain cities.