1. 12:31 22nd Aug 2012

    Notes: 7

    Tags: TechnologyTechSmart Carsautonomous vehiclesConnected Vehicles

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    3,000 Vehicle Test of Wifi Crash-Avoidance System Will Largest Ever Real-World Test of Smart Car Tech The researchers plan to install wireless communication devices on nearly 3,000 vehicles that will let passenger cars, commercial trucks, and transit buses “talk” to each other, as well as to traffic lights and other road signals located at intersections, curves and highway sites throughout a test-pilot area in northeast Ann Arbor. The connected vehicle technology involves both vehicle-to-vehicle and vehicle-to-infrastructure communications that transmit and receive vehicle data such as position, speed and direction. Drivers are alerted to a potential crash situation —such as a nearby vehicle unexpectedly braking, a sudden lane change, merging traffic, etc. — by a visual or audible warning inside their vehicles. The data generated and archived as part of the project will be used to inform future regulatory and policy decisions by the USDOT. (via A 3,000-vehicle test of wireless crash-avoidance system | KurzweilAI)

    3,000 Vehicle Test of Wifi Crash-Avoidance System Will Largest Ever Real-World Test of Smart Car Tech

    The researchers plan to install wireless communication devices on nearly 3,000 vehicles that will let passenger cars, commercial trucks, and transit buses “talk” to each other, as well as to traffic lights and other road signals located at intersections, curves and highway sites throughout a test-pilot area in northeast Ann Arbor.

    The connected vehicle technology involves both vehicle-to-vehicle and vehicle-to-infrastructure communications that transmit and receive vehicle data such as position, speed and direction. Drivers are alerted to a potential crash situation —such as a nearby vehicle unexpectedly braking, a sudden lane change, merging traffic, etc. — by a visual or audible warning inside their vehicles. The data generated and archived as part of the project will be used to inform future regulatory and policy decisions by the USDOT.

    (via A 3,000-vehicle test of wireless crash-avoidance system | KurzweilAI)

     
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