Everything’s getting smarter these days, including traffic lights. For the most part, unchanged for over 100 years, the current American traffic lights have entered the age of machine learning. This means a more efficient, safer and greener transportation world. Traffic signal preemption is one way to assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic lights and an e-bike/scooter sensors can automatically time stoppages so that they align with commuters’ travel schedules.
IoT sensor and connectivity technologies allow smarter traffic control systems to maximize energy efficiency by optimizing signal timings based upon the current conditions. The data collected from sensors and cameras can either be pre-processed in the device itself or transmitted to a hub technologytraffic.com for traffic management where it is integrated into AI algorithms. The result is more precise modeling and a predictive analysis that could help avoid congestion, improve schedules for public transportation, and decrease carbon emissions.
These technologies are smart and can transform urban transportation systems. Smart e-bike/scooter sensors for instance, are able to detect and relay the location of shared vehicles to facilitate more convenient ride-sharing while micromobility payment systems allow on-street parking and road toll payments without needing correct change.
IoT smart traffic technology could enhance the efficiency of public transit, making it easier for commuters to track buses and trams in real-time by using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles, allowing them to reach their destination more quickly This is an innovation that has already dramatically reduced the rate of crashes in a few cities.