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Truck identification using New Jersey weigh in motion data
Author(s) -
Amrutha Donaiah
Publication year - 2008
Publication title -
rutgers university community repository (rutgers university)
Language(s) - English
DOI - 10.7282/t39g5n5q
Subject(s) - truck , identification (biology) , computer science , engineering , automotive engineering , biology , botany
OF THESIS Truck Identification using New Jersey Weigh-In-Motion Data By AMRUTHA DONAIAH Thesis Director: Dr. Hani H.Nassif An algorithm for truck identification based on the truck’s axle configuration, arrival time, and gross vehicle weight is proposed. The algorithm is applied between WIM Stations and can further be modified for use in Origin-Destination (O-D) studies for New Jersey State. Truck Origin-Destination study is necessary in order to find out if the roads are being used by local state trucks, or by trucks traveling from out of the state. Truck volumes have incomparably increased since past years in the State of NJ reducing the level of safety of pavement structures and highway bridges. An extensive database of WIM data was collected from more than 50 fixed stations throughout the State of NJ. The WIM data collected includes gross weight, axle weights, axle spacings, number of axles, speed, length of the vehicle, vehicle classification and counts, lane, date and time of passage and ESAL’s to evaluate truck

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