Orange County Grand Jury • 2004-2005 • Agency Response
Response to: Red Light Cameras 05/31/05, 329K

Red Light Cameras: Automated Traffic Cops in Orange County.*

Published: June 22, 2005 3 pages
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Findings and Recommendations 1 findings

F6
1 Finding No. 6.1 reads, "Camera Revenues: The five cities in Orange County using RLCs are unable to determine through existing accounting systems how much revenue the cameras are producing. Cities should have this information to make informed decisions about RLCs." The Fullerton Police Department is committed to working with the City of Fullerton Fiscal Services Department, the Traffic Division of North Justice Center and Nestor Traffic Systems, Inc., to establish a mechanism to capture revenues received solely as a result of the City's automated red light camera system. By capturing that information, the City of Fullerton will be better equipped to make informed decisions about the cost effectiveness of this program. Currently, Nestor Traffic Services, Inc. is receiving monthly RLC citation status reports from the North Justice Center and inputting that information into a citation disposition spreadsheet. That spreadsheet can then be used to track each individual RLC citation issued and record the final disposition as well as the bail amounts received. Final citation dispositions from the court can vary in timeliness by several months based on a wide variety of circumstances from court granted continuances to appeals of guilty verdicts. However, even with the shortcomings inherent with the timeliness of the spreadsheet, this data should be able to provide us enough information to make informed decisions about the effectiveness and trends in our RLC system. West Commonwealth Avenue, Fullerton, California 92832-17/5 (714) 738-6311 • Fax (714) 738-6758 • [email protected] • www.ci.fullerton.ca.us RE: Response to Grand Jury Red Light Cameras: Automated Traffic Cops in Orange County June 22, 2005 –
No recommendations for this finding

* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.