California has experienced a concerning 22 percent increase in traffic deaths since 2019, according to a recent study conducted by transportation nonprofit TRIP. In an effort to reverse this upward trend, state officials are considering the use of generative AI technology, commonly utilized in chatbots, to better manage traffic and prevent vehicle crashes.
By harnessing data from traffic sensors, weather monitors, and cameras throughout the state’s extensive 53,000-mile highway network, AI has the potential to foresee potential hazards such as dense fog or wrong-way drivers. This information could then be relayed to drivers via phone notifications or displayed on a car’s dashboard, akin to California’s existing earthquake warning system that provides valuable seconds for people to prepare.
Additionally, this technology could assist in optimizing traffic flow by adjusting signal lights to anticipate and prevent high-risk situations, such as traffic jams or dangerous intersection crossings for fixed-route transportation.
To explore the potential of AI in improving traffic safety, the state is inviting proposals from the technology sector and aims to launch demonstration projects later this year. As Amy Tong, the secretary of California’s Government Operations agency, stated, “We want to be diligent about it. Let’s test it out, see if it works. If it works, then let’s take the next step.”
This innovative approach to traffic management signifies the state’s commitment to leveraging technology to safeguard the lives of its residents. While the initial focus lies on the utilization of generative AI, this endeavor opens the door to further exploration of AI applications in other areas of transportation and infrastructure as well. By combining real-time data analysis and artificial intelligence, California aims to create a safer and more efficient traffic system for all.
The source of the article is from the blog rugbynews.at