A method of driving characteristics recognition on vehicle operation sequence

Yu Zhang*, Bo Shen, Yi Chih Kao, Hsin Hung Chou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Driving behavior has been proved to have a great influence on road safety. Recognizing driving characteristic is an essential part of reducing traffic fatalities and developing intelligent traffic system. In this paper, we propose a method of driving characteristics recognition through mining vehicle operation data such as GPS, velocity and direction collected by the On-Board Diagnostic (OBD) port of vehicles. Based on the feature extracted from the vehicle operation sequence, we employ K-means algorithm to cluster and recognize different driving characteristics after reasonable normalization and dimensionality reduction of the features. Analysis and experimental results indicate that the proposed method has good application significance on mining effective information in vehicle operation data sequence.

Original languageEnglish
Pages (from-to)2007-2014
Number of pages8
JournalJournal of Internet Technology
Volume20
Issue number6
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Cluster analysis
  • Data mining
  • Driving characteristics recognition
  • Vehicle operation data

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