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NCJRS Abstract

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NCJ Number: 220184 Find in a Library
Title: Automated SPEED Enforcement Study
Journal: The Police Chief  Volume:74  Issue:7  Dated:June 2007  Pages:28-31
Author(s): Jack Hegarty
Date Published: July 2007
Page Count: 4
Document: HTML
Type: Program/Project Evaluation
Format: Article
Language: English
Country: United States of America
Annotation: This article presents preliminary data on the assessment of the automated speed enforcement (ASE) system on Arizona Route 101 through Scottsdale, a high-volume, high-speed, multilane freeway.
Abstract: Before the ASE test, there were 290 crashes. During the test, there were 250 crashes, a 14-percent reduction (40 fewer crashes). The test ran between January and October 2006. During the first month before the enforcement period, 16,257 warnings were issued. During the 8-month period between February 22, 2006, and October 23, 2006, Scottsdale issued 90,344 ASE citations to vehicles traveling at or over the threshold speed of 76 miles per hour (65 mph posted speed limit). If the final evaluation report concludes that the reduction in crash numbers resulted from the deployment of the ASE system, then future ASE projects should produce similar results. ASE enforcement systems use three subsystems: a vehicle speed subsystem, a vehicle/driver photo subsystem, and a speeding violation subsystem. The vehicle speed subsystem typically relies on a radar or LIDAR sensor in order to determine the speed of the vehicle. When a vehicle is speeding, this triggers the vehicle/driver photo subsystem, which takes two photos, one of the driver and one of the rear license plate. A data record is created by coupling the speed information with the photos of the driver and license plate for each violation. A speeding violation is subsequently issued to the violator. The evaluation involves a pretest and posttest comparison of crash data on the test segment of the highway and crash data for a control freeway segment. 7 figures and 4 notes
Main Term(s): Police equipment
Index Term(s): Arizona; Automated vehicle monitors; Traffic accidents; Traffic engineering; Traffic law enforcement; Traffic monitoring; Traffic monitoring equipment
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