Every aspect of life is becoming smarter, including traffic lights. The American traffic lights that have remained nearly unchanged for 100 years, are now controlled by machine learning. The result is a more efficient, safer and greener transportation world. Traffic signal preemption technology, for example can assist drivers in avoiding an injury-causing collision with pedestrians. And a system that integrates traffic light sensors and e-bike/scooter sensors will automatically time stops to coincide with commuter travel schedules.
IoT sensor and connectivity technology makes it possible to create smarter traffic control systems which maximize energy efficiency by optimizing the timings of signals in real-time. The data that sensors and cameras can be processed on the device or transmitted to a traffic management hub where it is integrated into AI-based algorithms. The results are more precise analysis and predictive models to reduce congestion, align public transit schedules and cut carbon emissions.
These technologies are transforming urban transport systems. Smart e-bike/scooter sensors for instance, can track and transmit the location of shared vehicles to facilitate more convenient ride-sharing while micromobility payment systems enable street parking and road toll payments without top free traffic simulation software list needing correct changes.
IoT smart traffic technology could also boost the efficiency of public transportation, making it easier for commuters to track buses and trams in real time using live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles to ensure they arrive at their destination quicker – a breakthrough that has already reduced crash rate in some cities.
