License Plate Registration (LPR) technology has been used for off-line automobile enforcement purposes. The technology has been mixed success with correct reading rate around 60 to 70& depending on the specific application and environment. This limitation can be, and is often, remedied through human verification after the fact and before a citation is issued. Armed with advanced text-mining algorithms, this study enables LPR technology for real-time enforcement by matching plates whether correctly or incorrectly read at various locations in a network or along a corridor and, hence, tracking the movement and speed of vehicles. The focus of the project is on heavy vehicles as they are required to enter weigh stations, where the LPR tracking information can be used, in real time, for speed enforcement and/or as a triggering factor for other inspectional activities.


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