3 ways to excel at predicting traffic incidents
3 things we learned at IAA Mobility Munich this year
Reduce pollution with real-time intersection data – at every intersection
3 ways to excel at predicting traffic incidents
We rarely pause to think about how navigation apps in our cars and phones find the best route and travel time to our destination. Routing has become so ubiquitous in modern life that we don’t even think about it. Despite expecting the highest levels of accuracy, we never really “look under the hood” to appreciate the complexity of the algorithms that make it possible.
3 things we learned at IAA Mobility Munich this year
Last week saw the International Motor Show (IAA) in Munich, Germany take place. It’s one of the first major in-person motor shows to go ahead since the coronavirus pandemic took hold last year. While the pandemic led to the cancellation of many motor shows, some of which will never return, those that remain aren’t the archetypal car focused displays they once were. Here’s what we learned at this year’s IAA in Munich.
Reduce pollution with real-time intersection data – at every intersection
Improving traffic flow at signalized junctions is crucial to improving road safety, reducing emissions and lowering congestion. Achieving this typically relies on complex sensor arrays that are expensive and difficult to maintain. However, thanks to millions of connected devices, there are other analytical technologies that can help infrastructure operators achieve this without the need for sensors.

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