Everything is getting smarter these days and that includes traffic lights. In fact, after more than a century, today’s American traffic lights are now in the age of machine learning. The result is a more efficient and safer transportation world. Technology for preemption of traffic signals, for example, can help drivers avoid a life-threatening collision with pedestrians. A system that incorporates traffic lights and e-bike/scooter sensor will automatically time stops to align with commuters’ travel schedules.
IoT sensor and connectivity technology helps to build more intelligent traffic control systems that maximize energy efficiency through optimizing the timings of signals in real-time. The data collected by cameras and sensors can be pre-processed by the device, or sent to an infrastructure for traffic management, which is then integrated into AI-based algorithms. The results are more precise analysis and predictive models to prevent congestion, align public transit schedules and reduce carbon emissions.
These smart technologies can transform the urban transport system. Smart e-bike/scooter sensors, for example can detect and transmit the location of shared vehicles to make ride-sharing more convenient. Micromobility payment systems however 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 https://technologytraffic.com/2022/08/12/best-data-rooms-providers-for-international-companies and make it easier for commuters to track buses and trams in real-time with live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so that they arrive at their destination quicker – a breakthrough that has already reduced the number of crashes in some cities.