
San Jose is stepping into the future of urban transportation safety with a little help from the Toyota Mobility Foundation. The city has been awarded a $260,000 grant to implement Artificial Intelligence (AI) and computer vision technologies to make streets safer for cyclists, pedestrians, and other vulnerable road users. The grant is part of a collaborative effort to address road hazards more swiftly and efficiently, according to the City of San Jose.
According to the City of San Jose, the initiative will specifically focus on automatically detecting obstacles plaguing roads, like illegally parked cars in bike lanes or the ever-annoying debris like furniture that can cause accidents. William Chernicoff, TMF’s Senior Manager for Global Research and Americas Projects, expressed the foundation's enthusiasm for the partnership, saying, "For the City of San José to achieve its goal of better safeguarding vulnerable road users, people must trust the infrastructure, as reflected in its safety, security, reliability, and robustness."
San Jose's Mayor Matt Mahan weighed in on the initiative, underscoring the city's commitment to utilizing cutting-edge solutions to enhance public safety. "Leveraging AI to keep our bike lanes clear not only enhances public safety but also exemplifies San José's commitment to innovative solutions," he said, as per the City of San Jose. This echoes the city's broader goals of fostering active mobility, as laid out in the San José 2025 Better Bike Plan and the Vision Zero San José initiative, which aims to eliminate traffic fatalities and severe injuries.
Nick Maynard, CEO of US Ignite, a nonprofit aiding the endeavor, praised the city's approach, noting its potential as a model for others. "San José's pioneering use of AI for road safety aligns perfectly with our mission. Their innovative approach will undoubtedly inspire other cities to adopt similar technologies, driving nationwide improvements in urban mobility and safety", Maynard stated, as cited by the City of San Jose. Beyond just monitoring San José's streets, the AI system is expected to liberate city staff by reallocating their efforts from spotting the issues to solving them.









