Traffic-adaptive LED streetlights deployed in test bed city: Page 2 of 2

April 25, 2017 //By Julien Happich
Traffic-adaptive LED streetlights deployed in test bed city
IoT systems provider Echelon Corporation (San Jose, CA) has developed a patent-pending cognitive vision-based technology that can enable a wide range of smart city and smart campus applications, including traffic-adaptive lighting.

Lumewave's traffic adaptive lighting application takes traffic detection one step further by providing direct integration with area street lighting. Additionally, the InSight Cognitive Vision System captures and analyzes traffic patterns right at the camera and then provides traffic volume data to a local gateway or SmartServer to adaptively dim or brighten lights. Critical traffic data is also passed to a Central Management System via the Lumewave network.

"Echelon's new solution will deliver more efficient lighting sequences at a lower cost, so we're excited to be testing it. The Echelon team got up to speed very quickly on the way a signal cabinet works and expertly integrated their traffic adaptive lighting into our existing system," said Adam Miles, Associate Traffic Engineer, City of Spokane. "The technology will allow us to reduce energy costs through existing traffic detectors while we analyze data from the new InSight cameras and compare their ability to replace traditional traffic detection tools."

In the future, additional InSight applications will offer more traffic analytics, including vehicle classification and vehicle speed maps, signal timing functions, and solutions to other related problems, like parking.

Echelon Corporation -

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