Everything is getting smarter these days even traffic lights. Virtually unchanged for more than 100 years, today’s American traffic signals have entered the age of machine learning. This means a more efficient more sustainable, safer and greener transport world. Traffic signal preemption for instance, can assist drivers in avoiding a potentially life-threatening collision. A system that combines traffic lights and e-bike/scooter sensors will automatically time stops to coincide with commuters’ schedules.
IoT sensors and connectivity technologies help intelligent traffic control systems that maximize energy efficiency by optimizing signal timings based upon real-time conditions. The data collected from cameras and sensors can be pre-processed in the device itself or transmitted to a hub for traffic management which will then be integrated into AI algorithms. The results are more precise analysis and predictive models to prevent congestion, align public transportation schedules, and reduce carbon emissions.
These technologies are smart and have the potential to transform urban transportation systems. Smart sensors for e-bikes or scooters for instance, can detect and communicate the location of shared personal vehicles to make ride-sharing more efficient. Micromobility payment systems however allow on-street parking and road tolls with no requirement for changing the correct amount.
Smart traffic technology that is based on IoT can also improve the efficiency of public transport and allow commuters to track buses and trams in real-time through live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they arrive at their destination quicker This is a breakthrough that has already reduced crash rates in certain cities.
