GPS Data Filtration Method for Drive Cycle Analysis Applications

Research output: Contribution to conferencePaper


When employing GPS data acquisition systems to capture vehicle drive-cycle information, a number of errors often appear in the raw data samples, such as sudden signal loss, extraneous or outlying data points, speed drifting, and signal white noise, all of which limit the quality of field data for use in downstream applications. Unaddressed, these errors significantly impact the reliability ofsource data and limit the effectiveness of traditional drive-cycle analysis approaches and vehicle simulation software. Without reliable speed and time information, the validity of derived metrics for drive cycles, such as acceleration, power, and distance, become questionable. This study explores some of the common sources of error present in raw onboard GPS data and presents a detailedfiltering process designed to correct for these issues. Test data from both light and medium/heavy duty applications are examined to illustrate the effectiveness of the proposed filtration process across the range of vehicle vocations. Graphical comparisons of raw and filtered cycles are presented, and statistical analyses are performed to determine the effects of the proposed filtration processon raw data. Finally, an evaluation of the overall benefits of data filtration on raw GPS data and present potential areas for continued research is presented.
Original languageAmerican English
Number of pages9
StatePublished - 2013
Event2012 SAE World Congress and Exhibition - Detroit, Michigan
Duration: 24 Apr 201226 Apr 2012


Conference2012 SAE World Congress and Exhibition
CityDetroit, Michigan

Bibliographical note

Posted with permission.

NREL Publication Number

  • NREL/CP-5400-53865


  • data acquisition
  • data filtration
  • drive cycles
  • GPS errors


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