In the last post, we talked about moving from “smart” cities to “thinking” cities. The idea was simple. Collecting data isn’t enough. Running dashboards isn’t enough. A thinking city understands what it’s looking at and knows what to do next. Roads are a perfect example of that shift. Right now, a lot of road analysis […]
How Agentic AI Becomes the Urban Decision-Maker Over the past few articles, we progressively moved up the intelligence stack in urban analytics: Now we reach the natural next step: Cities don’t need more dashboards.Cities need systems that act. This article explains how advanced Agentic AI transforms urban planning from analytical to operational: from observing cities
At Jimatech, we spend a lot of time thinking about how to make roads safer. We recently looked at how AI uses “eyes” to see what is happening on the street through digital images. It’s a big step forward, but if we want to get serious about fixing our infrastructure, we have to admit something:
Introduction Road accidents remain one of the leading causes of injury and death worldwide. With increasing numbers of vehicles, pedestrians, and cyclists sharing the same roads, ensuring safety has become a complex challenge. Traditional traffic monitoring systems rely heavily on human observation and basic sensors, which are often limited in speed, accuracy, and scalability. This
