Title :
Vehicle classification using measurements from accelerometers mounted on the road surface
Author :
Obertov, Dmitrii ; Andrievsky, Boris
Author_Institution :
ITMO Univ., St. Petersburg, Russia
Abstract :
A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed. Correct classification of vehicles by wheelbases using accelerometers is about 89 %.
Keywords :
accelerometers; axles; control engineering computing; intelligent transportation systems; parameter estimation; pattern classification; road traffic control; road vehicles; vibration control; vibration measurement; wheels; accelerometers measurements; axle parameter estimation; road surface; road traffic control; road vibrations measurement; transferred energy; vehicle classification; wheelbases; Accelerometers; Artificial intelligence; Axles; Roads; Smoothing methods; Vehicles; Vibrations;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4799-5082-9
DOI :
10.1109/MMAR.2014.6957389
