Traffic lights are no exception. Almost unchanged for more than a century, today’s American traffic signals are now in the age of machine learning. The result is a more efficient safer, safer, and sustainable transportation system. Technology for preemption of traffic signals for instance can help drivers avoid dangerous collisions with pedestrians. A system that incorporates traffic lights and e-bike/scooter sensors will automatically time stops to align with commuters’ travel plans.
IoT sensor technologytraffic.com/2021/07/08/generated-post and connectivity technology enables more intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data from cameras and sensors can be processed in the device itself, or sent to a hub for traffic management which will then be integrated into AI algorithms. The result is more precise modeling and a predictive analysis that can help to avoid congestion, align schedules for public transportation and reduce carbon emission.
These advanced technologies can change the way we travel in urban areas. Smart sensors for e-bikes or scooters for instance, can detect and communicate location of shared personal vehicles to make ride sharing more comfortable. Micromobility payment systems on the other hand permit on-street parking or road toll payments with no requirement for accurate change.
Smart traffic technology that is based on IoT can also enhance the efficiency of public transit which allows commuters to follow trams and buses in real-time through live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles to ensure they can get to their destination more quickly which has already reduced crash rates in certain cities.
