Everything is getting smarter these days even traffic lights. Virtually unchanged for more than 100 years, modern American traffic lights are now in the age of machine learning. This means a more efficient, safer and greener transportation world. Technology to prevent traffic signals, for example, can help drivers avoid an injury-causing collision with pedestrians. A system that combines traffic light and e-bike/scooter sensors will automatically time stops to align with commuter travel schedules.
IoT sensor and connectivity technology allows for smarter traffic control systems that maximize energy efficiency by optimizing signal timings in real-time. The data from cameras and sensors can be processed within the device or sent to a hub for traffic management, where it will be integrated into AI algorithms. The result is more precise modeling and predictive analysis that technologytraffic.com/2021/07/08/generated-post can help to avoid congestion, improve schedules for public transportation, and decrease carbon emission.
These smart technologies have the potential to transform urban transportation systems. Smart e-bike/scooter sensors for instance, are able to detect and communicate the location of personal vehicles shared for more convenient ride-sharing, while micromobility payment systems enable street parking and road-toll payments without needing correct change.
Smart traffic technology that is based on IoT can also improve the efficiency of public transit and allow commuters to track buses and trams in real time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles to ensure they get to their destination faster this is a major breakthrough that has already reduced the number of crashes in some cities.