Green Light: Artificial Intelligence Serving Ecology

Conventional vehicles are consistent emitters of significant greenhouse gases, especially noticeable at intersections where frequent stops and congestion lead to spikes in pollution levels. Researchers from the company affirm that during these instances, emissions can surge up to 29 times higher, primarily due to stops and increased fuel consumption during acceleration.

Given the unavoidable nature of traffic light stops, Google has proposed an initiative to enhance traffic flow by tweaking the operation of traffic signals across various road sections. The company has engineered a unique system grounded in artificial intelligence, tapping into the wealth of data available through Google Maps. This innovative system proactively examines the prevailing traffic patterns and dispenses invaluable recommendations to refine the functioning of traffic lights, addressing aspects such as the duration of light cycles and the transition timing between signals.

According to the company’s estimates, the Green Light system reduces the number of stops by approximately 30% and emissions by up to 10%. The impact on the environment is calculated using a special formula that takes into account the reduction in the number of forced stops and starts. Additionally, all statistics, recommendations, and final reports, along with an analysis of the results, are accessible digitally on a specialized control panel for municipal authorities.

Green Light was first launched in a trial mode in 2021 in collaboration with the Israel National Roads Company. Presently, the system is operational in twelve cities across Israel, Germany, and India. Given the positive outcomes, Google has expressed intentions to expand the program, showcasing this project as a commendable example of the long-term and successful practical application of artificial intelligence.