UCLA Luskin Urban Planning chair Michael Manville spoke to the Los Angeles Times about plans to tap into artificial intelligence to find ways to make California’s roads safer and less congested. Caltrans is asking tech companies to pitch generative AI tools that could analyze immense amounts of data quickly, perhaps helping the state’s traffic engineers make decisions on signal timing and lane usage. Manville said that the problem is not a lack of data-backed solutions but rather a lack of political courage to put existing solutions, such as congestion pricing, into play. “If you want to make cities safer for pedestrians, if you want to lower speeds, if you want to deal with congestion in a meaningful way, technology is not going to rescue you from difficult political decisions,” he said.