01557095

Component

https://doi.org/10.3141/2537-15

This study proposes a novel method for parking space detection. The proposed system is based on individual vehicle detection using grayscale images acquired from a video camera. Two algorithms were tested in the laboratory and the field. The first algorithm was based on the maximum value of the image histogram; the second algorithm was based on the bandwidth of the image histogram. The proposed algorithms successfully recognized vacant and occupied parking spaces under different scenarios and weather conditions. From the verification of the field study, the detection rate of the proposed system reached more than 98% for both algorithms. This system can be used for monitoring parking vacancy and guiding incoming motorists to vacant parking spaces in real time. The system has simple algorithms and easy configuration and does not require high-quality images. The latter feature means that less expensive cameras or existing surveillance cameras can easily be used instead of special cameras; thus huge cost savings are provided. The system also offers a fast processing time and easy applicability to parking lots in continuous operation.

01596141

15-3322

English

pp 137–147

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369527

Print

Figures (5) ; Photos; References (15) ; Tables (2)

Algorithms; Field studies; Image processing; Parking guidance systems; Parking lots; Real time information; Video cameras

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Dec 30 2014 1:06PM

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