[telecom] The Learning Curve of Smart Parking

The Learning Curve of Smart Parking

By RANDALL STROSS December 22, 2012

PLACE "smart" in front of a noun and you immediately have something that somehow sounds improved.

In its current state, however, "smart parking" is in some ways little different from regular parking. The term refers to a beguiling technology, now being tested in several cities, that uses sensors to determine whether a particular spot on the street or in a parking garage is occupied or vacant. When a car has overstayed its allotted time, the technology can also send the information to a parking enforcement officer with ticket book in hand.

The sensors' data can also be used to adjust parking prices, using higher rates to create more turnover on the busiest blocks and lower prices to draw drivers to blocks with underused spaces.

Smart-parking technology for on-street spaces is expensive, and still in its early stages. The largest examples are pilot projects with costs covered primarily by grants from the federal Department of Transportation. In San Francisco, the SFpark pilot project uses sensors from StreetSmart Technology for 7,000 of the city's 28,000 meters. In Los Angeles, LA Express Park has installed sensors from Streetline for 6,000 parking spots on downtown streets.

Cities are marketing the programs as experiments in using demand-based pricing to reduce traffic congestion - the kind caused by circling drivers desperately seeking parking spots - and to make more spaces available at any specific time. Drivers are encouraged to use mobile apps to check parking availability and pricing, though coverage is not universal. Parker, for example, from Streetline, gives detailed information about on-street parking for Los Angeles, but not for San Francisco.

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