A California city is using artificial intelligence to make public buses faster and more reliable, a move that carries important implications for Montana communities facing transportation challenges of their own. In San Jose, officials have deployed an AI enabled traffic signal system that prioritizes green lights for buses using real time traffic data.

The approach reduced delays at red lights by half during a pilot program and increased bus travel speeds by 20% after expanding citywide. While Montana cities are smaller and more spread out, the core issue is similar, residents depend on reliable transportation to get to work, school, medical appointments, and services, and even modest improvements can have outsized impacts in rural and small town settings where options are limited.

For Montana, the relevance lies in how technology could strengthen community connections and transportation efficiency without massive new infrastructure spending. AI assisted traffic systems could help buses move more predictably through busy corridors in places like Billings, Missoula, Bozeman, and Great Falls, improving on time performance and making transit a more viable option for workers, students, seniors, and people with disabilities.

Better bus reliability can also ease congestion, reduce wear on roads, and support safer travel, especially during winter months when conditions strain local transportation networks. As Montana communities look for cost effective ways to improve mobility and support economic activity, the San Jose experience highlights how smart technology can enhance transportation systems that touch nearly every resident, strengthening access, reliability, and quality of life across the state.

California city taps AI to improve public bus service and increase ridership