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Optimus Ride partners with Brookfield Properties for initial deployment of self-driving vehicles

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Optimus Ride, a self-driving vehicle technology company, announced a partnership with Brookfield Properties to deploy a program for its self-driving vehicles at Halley Rise, a new $1.4 billion mixed-use development that will transform a 36-acre office park in Reston, Virginia into 3.5 million square feet of new housing, dynamic local retail, modern offices, public green spaces, and year-round cultural activations.

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Beginning in June 2019, Optimus Ride will provide tenants at buildings currently on the Halley Rise site with access to efficient self-driving mobility completely contained within the development site.

Dr. Ryan Chin, CEO and Co-founder of Optimus Ride, said: “We are pleased to announce our partnership with Brookfield, the world's leading real estate developer. We will deploy our self-driving system at Brookfield's Halley Rise location this summer to provide users with autonomous mobility access between office buildings as we continue to scale our business. In the future, we will advance our partnership by deploying our self-driving systems at additional Brookfield sites around the world.”

With this deployment, tenants will be able to use Optimus Ride's reservation system and on-demand ride services. During the initial phase, a total of three self-driving vehicles will remain completely within the Halley Rise development site and transport tenants from their office buildings to parking lots at the site. An operations team on site will actively monitor the fleet service as well as provide maintenance, cleaning, charging and updating of the self-driving vehicle fleet.

Optimus Ride is committed to the goals of Vision Zero, a multi-national road traffic safety initiative that aims to achieve a road network with no fatalities or serious injuries involving road traffic. Optimus Ride's vehicles are programmed to adhere to Vision Zero speeds.


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Optimus Ride partners with Brookfield Properties for initial deployment of self-driving vehicles
Modified on Friday 8th February 2019
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