Traffic lights are not an exception. In fact, after more than 100 years, today’s American traffic lights have entered the age of machine learning. This means a more efficient safe and environmentally friendly transportation world. Technology for preventing traffic signals for instance will help drivers avoid a life-threatening collision with pedestrians. A system that incorporates traffic lights and e-bike/scooter sensors will automatically time stoppages to align with commuters’ timetables.
IoT sensor and connectivity technology allows for smarter traffic control systems which maximize energy efficiency by optimizing signal technologytraffic.com/2021/12/29/generated-post-4 timings in real-time. The data collected by cameras and sensors can be pre-processed on the device or transmitted to a traffic management hub where it is integrated into AI-based algorithms. The result is more precise modeling and predictive analysis that can prevent congestion, coordinate schedules for public transport and reduce carbon emissions.
These technologies are smart and have the potential to transform urban transport systems. Smart sensors for e-bikes or scooters, for example can detect and communicate the location of shared personal vehicles to make ride-sharing more practical. Micromobility payment systems, on the other hand allow on-street parking and road tolls with no need for a change in the right amount.
IoT smart traffic technology could enhance the efficiency of public transit and make it easier for commuters to track buses and trams in real time using live tracking apps. Intelligent intersection technology can help prioritize emergency vehicles so that they arrive at their destination quicker This is a breakthrough that has already reduced crash rate in some cities.