Fleet DNA Phase 1 Refinement & Phase 2 Implementation: NREL (National Renewable Energy Laboratory)

Adam Duran, Kenneth Kelly

Research output: NRELPresentation


Fleet DNA acts as a secure data warehouse for medium- and heavy-duty vehicle data. It demonstrates that vehicle drive cycle data can be collected and stored for large-scale analysis and modeling applications. The data serve as a real-world data source for model development and validation. Storage of the results of past/present/future data collection efforts improves analysis efficiency through pooling of shared data and provides the opportunity for 'big data' type analyses. Fleet DNA shows it is possible to develop a common database structure that can store/analyze/report on data sourced from multiple parties, each with unique data formats/types. Data filtration and normalization algorithms developed for the project allow for a wide range of data types and inputs, expanding the project's potential. Fleet DNA demonstrates the power of integrating Big Data with existing and future tools and analyses: it provides an enhanced understanding and education of users, users can explore greenhouse gases and economic opportunities via AFLEET and ADOPT modeling, drive cycles can be characterized and visualized using DRIVE, high-level vehicle modeling can be performed using real-world drive cycles via FASTSim, and data reporting through Fleet DNA Phase 1 and 2 websites provides external users access to analysis results and gives the opportunity to explore on their own.
Original languageAmerican English
Number of pages33
StatePublished - 2015

Publication series

NamePresented at the Vehicle Technologies Office (VTO) Annual Merit Review and Peer Evaluation, 8-12 June 2015, Washington, D.C.

NREL Publication Number

  • NREL/PR-5400-64141


  • analysis
  • big data
  • data source
  • drive cycle data
  • Fleet DNA
  • modeling


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