Brandmotion Elevates View on LiDAR Demonstrations
January 14, 2023Brandmotion Elevates View on LiDAR Demonstrations SUMMARY As the winner of the U.S. Department of Transportation’s (USDOT) first-ever Smart City Challenge, Columbus, Ohio, is on a mission to be the model for connected cities in the United States. The vision of Smart Columbus is to empower residents to live their best lives through responsive, innovative, and safe mobility solutions. Columbus was awarded $50 million in grant funding from the USDOT’s Smart City Challenge. The project, called the Connected Vehicle Environment (CVE), is seeking to serve as a model for other cities that intend to integrate connected vehicles into their transportation networks. The City assembled an implementation team that included Brandmotion Solutions to implement a vehicle-to-vehicle (V2V) network. Thanks in part to Brandmotion Solutions’ deep connected vehicle expertise, the project will serve as a model for future Smart Cities. This case study highlights the keys to success of the connected vehicle integrations in Columbus. Results That Speak for Themselves Our latest case study shows how Brandmotion led the integration and installation of vehicle-side onboard units. In this case study you’ll discover: The key ingredients that made the Columbus project successful New technological solutions that provided critical driver feedback The depth of expertise Brandmotion Solutions introduced to the project “Brandmotion’s work really aligns well with the overall goals of the Smart Columbus program, and that’s to provide enhanced mobility and safety to all of our residents within Columbus as we travel about the City .” — Andrew Wolpert, Deputy Program Manager, Smart Columbus. Latest Post Brandmotion and DENSO Announce Partnership for One Stop Vehicle Integration of Advanced Connectivity Technology Get Better Results in Less Time on Your Connected Vehicle Deployment Brandmotion Expands Its Digital FullVUE® Mirror Lineup to Add Ford Bronco What To Know Before Installing A Jeep Backup Camera
