Slashdot discusses a story named Sensor Networks In San Francisco Finds Parking Spots.
Their summary: "You've heard of smart cars, and now, rolling out in San Francisco, is a smart parking system that promises to eliminate the arduous process of finding a parking spot. SFpark is a network of magnetic sensors that have been installed under 8,200 street parking spaces, along with additional information from parking garages and parking meters. These sensors are all linked together in a mesh network, and ultimately link back to a central command center. Drivers can access this parking data via the SFpark website or smartphone app, and see in real-time where parking spaces are available. At any one time, a third of cars on the road in urban areas are looking for parking spots, consuming more fuel, creating more pollution, and causing more accidents. With SFpark, you can see at a glance where there's a parking spot — but in the future, you'll be able to hit a button and have your smartphone direct you to the nearest parking spot."
It's not the first time we discuss location technology to find parking lots.
Here's the Friday geonews in batch mode.
From the open source / open data front:
From the ESRI front:
In the miscellaneous category:
In the maps category:
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