How INRIX accelerates transportation planning with Amazon Bedrock
aws.amazon.com - machine-learningThis post is co-written with Shashank Saraogi, Nat Gale, and Durran Kelly from INRIX.
The complexity of modern traffic management extends far beyond mere road monitoring, encompassing massive amounts of data collected worldwide from connected cars, mobile devices, roadway sensors, and major event monitoring systems. For transportation authorities managing urban, suburban, and rural traffic flow, the challenge lies in effectively processing and acting upon this vast network of information. The task requires balancing immediate operational needs, such as real-time traffic redirection during incidents, with strategic long-term planning for improved mobility and safety.
Traditionally, analyzing these complex data patterns and producing actionable insights has been a resource-intensive process requiring extensive collaboration. With recent advances in generative AI, there is an opportunity to transform how we process, understand, and act upon transportation data, enabling more efficient and responsive traffic management systems.
In this post, we partnered with Amazon Web Services (AWS) customer ...
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