Traffic lights aren’t an exception. Almost unchanged for more than a century, today’s American traffic lights are now undergoing machine learning. The result is a more efficient safe and environmentally friendly transportation world. Technology to prevent traffic signals for instance can assist drivers in avoiding the possibility of a fatal collision with pedestrians. A system that integrates traffic lights and an e-bike/scooter sensors can automatically time stoppages so that they align with commuters’ timetables.
IoT sensor and connectivity technologies enable intelligent traffic control systems that maximize energy efficiency by improving signal timings according to the current conditions. The data collected by sensors and cameras can be processed on the device or transmitted to an automated traffic management hub which then integrates it into AI-based algorithms. The results are more precise analysis and predictive modeling to reduce congestion, align public transit schedules and cut carbon emissions.
These advanced technologies have the potential to transform urban transport systems. Smart e-bike/scooter sensors for example, can detect and share the location of personal vehicles shared for more convenient ride-sharing, while micromobility payment systems allow parking on the street and road toll payment without technologytraffic.com/2021/07/08/generated-post/ the need to changes.
Smart traffic technology based on IoT can also enhance the efficiency of public transportation by allowing commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to help them get to their destination faster – an innovation that has already dramatically decreased crash rates in certain cities.