TY - JOUR N2 - The paper deals with the new method of automatic vehicle classification called ALT (ALTernative). Its characteristic feature is versatility resulting from its open structure, moreover a user can adjust the number of vehicles and their category according to individual requirements. It uses an algorithm for automatic vehicle recognition employing data fusion methods and fuzzy sets. High effectiveness of classification while retaining high selectivity of division was proved by test results. The effectiveness of classification of all vehicles at the level of 95% and goods trucks of 100% is more than satisfactory. L1 - http://www.czasopisma.pan.pl/Content/107059/PDF/Journal10178-VolumeXVII%20Issue3_02%20paper.pdf L2 - http://www.czasopisma.pan.pl/Content/107059 PY - 2010 IS - No 3 EP - 332 DO - 10.2478/v10178-010-0028-2 KW - automatic vehicle classification KW - ITS KW - weigh-in-motion KW - WIM KW - fuzzy sets KW - data fusion A1 - Burnos, Piotr PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation DA - 2010 T1 - Alternative Automatic Vehicle Classification Method SP - 323 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/107059 T2 - Metrology and Measurement Systems ER -