Everything is getting smarter these days even traffic lights. Virtually unchanged for more than a century, today’s American traffic signals have entered the era of machine learning. This results in a more efficient safer, more secure, and sustainable transportation system. Preemption of traffic signals, for example can assist drivers in avoiding a potentially life-threatening collision. A system that integrates traffic lights and an e-bike/scooter sensors can automatically time stoppages to align technologytraffic.com/2021/07/08/generated-post/ with commuters’ schedules of travel.
IoT sensor and connectivity technologies enable smarter traffic control systems that maximize energy efficiency by improving signal timings according to real-time conditions. The data that cameras and sensors can be pre-processed on the device or transmitted to an automated traffic management hub where it is incorporated into AI-based algorithms. The result is more precise model and predictive analysis that can help to avoid congestion, coordinate schedules for public transport and reduce carbon emissions.
These innovative technologies could transform urban transport systems. Smart e-bike and scooter sensors, for instance, are able to detect and relay the location of personal vehicles shared for more convenient ride-sharing micromobility payment systems can facilitate on-street parking and road toll payment without the need to change.
IoT smart traffic technology could also increase the efficiency of public transport and make it easier for commuters to track trams and buses in real time using live tracking apps. Intelligent intersection technology can prioritize emergency vehicles to help them get to their destination quicker This is an innovation that has already drastically reduced crash rates in some cities.