Outdoor / Prata

Título: Bridges Forecast
Categoria: C01. Digital Screens
Agência: the community
Anunciante: Mercedes-Benz

Sinopse: Many cities grow along their rivers, but often this growth leads to packed residential areas along the waterways. With the increased population, there’s usually a problem: traffic caused by the drawbridges. And it’s even worse in cities like Miami, where the openings are unpredictable. Mercedes-Benz wanted to combat this common tension and decided to do something about it using artificial intelligence. The idea is a first-ever prediction system, for connected drawbridges that allows commuters to be one step ahead of the bridges, and the traffic they cause. We call this the Bridge Forecast
The Bridge Forecast is fueled by real-time data of three key bridges along the Miami River. Using a computer vision model, a form of artificial intelligence, and Nest cameras, we studied the bridges for months to draw conclusions and understand patterns within the data. We then applied machine learning to the base of data to create a prediction system to determine when a particular bridge will go up within a 5-7-minute window. The guts of the system were then fed into a simple site interface with real-time updating of the bridges. In our case, the intelligence is on the back-end, and the front-end is all about clear reporting of the status and the prediction. We didn’t want to stop at an analysis tool using this data. We wanted to add a layer of prediction which can help people save up to 20 minutes, for every bridge opening.

Beyond the site experience, we also incorporated a digital billboard fed by our real-time data to influence the decision of drivers about to get off or bypass the exits using the bridges in our forecast. We have already made an impact on local traffic reporting showing the usefulness of our system.

Our model is the first ever solution in bridge prediction for a river city, and we built it to be adaptable to other cities and scale accordingly. We also decided to open up our data through a public API in hopes of integration with navigation apps like Waze and Google Maps.

Sinopse em inglês: Many cities grow along their rivers, but often this growth leads to packed residential areas along the waterways. With the increased population, there’s usually a problem: traffic caused by the drawbridges. And it’s even worse in cities like Miami, where the openings are unpredictable. Mercedes-Benz wanted to combat this common tension and decided to do something about it using artificial intelligence. The idea is a first-ever prediction system, for connected drawbridges that allows commuters to be one step ahead of the bridges, and the traffic they cause. We call this the Bridge Forecast
The Bridge Forecast is fueled by real-time data of three key bridges along the Miami River. Using a computer vision model, a form of artificial intelligence, and Nest cameras, we studied the bridges for months to draw conclusions and understand patterns within the data. We then applied machine learning to the base of data to create a prediction system to determine when a particular bridge will go up within a 5-7-minute window. The guts of the system were then fed into a simple site interface with real-time updating of the bridges. In our case, the intelligence is on the back-end, and the front-end is all about clear reporting of the status and the prediction. We didn’t want to stop at an analysis tool using this data. We wanted to add a layer of prediction which can help people save up to 20 minutes, for every bridge opening.

Beyond the site experience, we also incorporated a digital billboard fed by our real-time data to influence the decision of drivers about to get off or bypass the exits using the bridges in our forecast. We have already made an impact on local traffic reporting showing the usefulness of our system.

Our model is the first ever solution in bridge prediction for a river city, and we built it to be adaptable to other cities and scale accordingly. We also decided to open up our data through a public API in hopes of integration with navigation apps like Waze and Google Maps.

URL: https://bridgeforecast.com/

Founder & Chief Creative Officer: Joaquín Mollá, José Mollá

Executive Creative Director: Daniel Perez

Sr. Director of Innovation: Christopher Neff

Senior Art Director: Edu Nose

Art Director: David Uribe

Global Director of Business Development: Mike Ridley

VP of Integrated Production: Laurie Malaga

Sr. Director, Group EP: Ramón Nunez

Agency Producer: Gus Gomez

Creative people manager: Maru Sokolowski

Senior Post Producer: Edwina Lantigua

Editor: Felipe Echavarria

Sound Designer: Marvin Aguado

Location Manager: Adam Schwarz

Photographer: Daniel Oliveras de Ita

Supervisor de Cuenta: Natalie Greenman

Senior Business Affairs Manager: Daphne Papadopulos