Everything’s getting smarter these days including traffic signals. For the most part, unchanged for over a century, today’s American traffic signals are now undergoing machine learning. The result is an efficient safe and environmentally friendly transportation world. Traffic signal preemption is one example. It can help drivers to avoid a potentially life-threatening collision. A system that integrates traffic lights and an e-bike/scooter sensor will automatically time stoppages to align with commuters’ schedules of travel.
IoT sensor and connectivity technology enables smarter traffic control systems which maximize energy efficiency through optimizing signal timings in real time. The data gathered from cameras and sensors can be processed in the device itself or transmitted to a hub for traffic management which will then be integrated into AI algorithms. The result is more precise model and predictive analysis that can help to avoid congestion, coordinate schedules for public transportation, and decrease carbon emission.
These advanced technologies can revolutionize urban transportation systems. Smart e-bike/scooter sensors for instance, could detect and transmit the location of personal vehicles shared by others to make ride-sharing more efficient. Micromobility payment systems however permit parking on the street or road tolls without the need for a change in the right amount.
Smart traffic technologytraffic.com/2021/07/08/generated-post technology based on IoT can also improve the efficiency of public transit and allow commuters to track trams and buses in real-time through live tracking apps. Intelligent intersection technology can help prioritize emergency vehicles so that they get to their destination faster this is a major breakthrough that has already reduced crash rate in certain cities.