Conventional methods for detecting vehicles for permanent travel monitoring stations have relied on detecting physical attributes of vehicles without correlating these with the specific vehicles and/or motor vehicle freight operators. However, by using a license plate reader camera, information can be gathered and cross referenced to other known data related to the specific vehicle assigned to the license plate. This could provide additional tools for enforcing overweight vehicles or targeting enforcement communication with freight carriers that consistently violate weight limits. The analysis conducted during this project compared machine-read license plates to manually collected license plates. The license plates were read as vehicle travelled highway speeds in a generally uncontrolled environment. Analysis is also provided that correlates hours of direct sunlight with accuracy of the automated reader. A second analysis was conducted as an effort to improve the accuracy of the Minnesota Department of Transportation’s weigh-in-motion classification scheme and bring it in line with the Department’s classification scheme for automatic traffic recorder stations (sites with axle-based detection that do not collect weight information).
Commercial Vehicle Enforcement Innovation
2015
51 pages
Report
No indication
English
Road Transportation , Highway Engineering , Transportation & Traffic Planning , Photographic Techniques & Equipment , Freight transportation , Moving vehicle weight measurement , Vehicle classification , Identification systems , Traffic surveillance , Travel monitoring , License plates , Weigh in motion (WIM) , Automatic license plate readers
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