Vehicle classification using measurements from accelerometers mounted on the road surface

Author

Obertov, Dmitrii ; Andrievsky, Boris

Author_Institution

ITMO Univ., St. Petersburg, Russia

fYear

2014

fDate

2-5 Sept. 2014

Firstpage

413

Lastpage

417

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MMAR.2014.6957389

Filename

6957389