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Le Smart City Challenge utilise les données pour rendre les rues plus sûres

By: Brent Rogerson | Oct 26, 2021
Smart City Challenge - Miovision

A great example of that in action is our customer in West Lafayette. The city is home to Purdue University, which has a well-respected transportation engineering program. West Lafayette is partnering with the school’s Innovation Partners Institute at the Purdue Research Foundation to present the West Lafayette Smart City Challenge – a competition to see what kind of innovative solutions students, faculty and start-ups can come up with to improve traffic safety in a key area of West Lafayette. 

The participants are challenged “to develop a scalable Internet of Things solution and/or software application to improve safety for vulnerable road users who navigate high-traffic corridors,” specifically an area called the Discovery Park District. This area is part of the Purdue campus and sees highly variable traffic. The local population nearly doubles every fall through spring as students return to Purdue. And, through the year, concerts, festivals and football games bring event-based traffic to the area. 

So, what’s all this have to do with Miovision?

We’re deployed at 20 intersections in West Lafayette and the city will allow participants to access data generated through our Open API to gain access to traffic counts, signal telemetry and counts. Participants can use this data, combine it with other data, and propose ways to improve safety for vulnerable road users – like students walking around the campus area. 

Brent Rogerson
Written By

Brent Rogerson Directeur, Ingénierie des solutions | Ingénierie des produits

Brent Rogerson est directeur de l'ingénierie des solutions chez Miovision, où il dirige l'équipe chargée de transformer les outils de données sur les transports en solutions produits concrètes. Fort d'une expérience dans le domaine de la réussite client et des systèmes de circulation intelligents, il apporte à la fois ses connaissances techniques et son expérience pratique pour concevoir des plateformes robustes et évolutives.

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