California’s first “smart freeway” can hold drivers at ramps for four minutes. Officials say longer ramp waits could reduce overall travel times by 20% or more. The system relies on algorithms and sensors, not artificial intelligence. Traffic is an issue of plenty of cities across the USA, but few states know it the way California does. Mitigating the issue usually involves more lanes, hundreds of millions in taxpayer dollars, and construction that slows traffic even more for weeks or months on end. Temecula is going to try something different, and it all starts by stopping some cars altogether. Along an 8-mile stretch of northbound Interstate 15 between Temecula and Murrieta, transportation officials have launched what they describe as the state’s first “smart freeway.” Rather than widening the road, the $33 million pilot project uses sensors, coordinated ramp meters, and computer algorithms to control how vehicles enter the freeway. Read: A $20 Fix Helped This City Cut Traffic Deaths To Zero The pilot is scheduled to run for two years, and officials say that if it proves successful, they will work with Caltrans to expand the system to other locations in Riverside County and potentially elsewhere in California. Four Minutes On The Ramp The downside sounds pretty rough initially. Some drivers could wait on the ramp for as long as four minutes before they get permission to merge. The project launched on June 1 and targets one of Southern California’s most congested roads. According to SF Gate, the stretch of I-15 between the Riverside-San Diego County line and the I-215 interchange can take less than 10 minutes to drive in ideal conditions, but afternoon commuters often spend 25 to 45 minutes crawling through traffic. Instead of releasing vehicles onto the freeway at fixed intervals, ramp meters at Temecula Parkway, Rancho California Road, and Winchester Road now work together. Sensors monitor traffic conditions in real time while algorithms determine how many vehicles should enter the freeway and when. Digital signs also display recommended speeds intended to smooth traffic flow and reduce the stop-and-go waves that often trigger major backups. Also: AI Cameras Fined Empty Seats For Not Wearing Seatbelts Despite some headlines framing the project as AI-controlled traffic management, RCTC says that’s not what’s happening. The agency stressed that the system relies on pre-programmed traffic-management technology rather than artificial intelligence. “The intent is to create a consistent flow of traffic on the freeway system, and the coordinated ramp metering among the three on-ramps … will help do that,” Agency spokesman David Knudsen said. “If we can manage that, then we can help prevent that stop-and-go traffic frustration that so many people feel on the freeway.” RCTC Having experienced this system in Denver for years, I can say that it’s less obnoxious than it sounds. At the same time, because it’s just a normal part of life there, it’s tough to judge how much time it saves (or doesn’t), in the moment. Good traffic data is truly the only way to gauge its impact. In Denver, it cuts travel time by around 20 percent. In Australia, where the technology is more abundant, drivers saw a 35-65 percent drop, though that figure is dependent on the corridor in question and really signifies an improvement in average speed. Regardless of how one measures it, be it less time in traffic or simply a faster average speed, both mean getting home sooner. Everybody is a fan of that. Lead image Google Maps