Road user behavior: Describing, inferring, predicting and beyond

Birsen Donmez, Anthony D. McDonald, John D. Lee, Linda Ng Boyle

Research output: Contribution to journalArticlepeer-review


Data collection and analysis perspectives differ widely across disciplines. In the study of road user behavior, data can be used to explore characteristics of the road user, verify theories, or predict road user behavior. The choice of descriptive, inferential, or predictive analysis greatly depends on the research question(s), which affects the data processing and visualization needs. In this paper, we present differences among the three analysis approaches with examples using a subset of the Strategic Highway Research Program (SHRP2) naturalistic driving data. The findings showcase 11 guidelines that should be considered irrespective of the analysis type.

Original languageEnglish (US)
Article number100932
JournalTransportation Research Interdisciplinary Perspectives
StatePublished - Nov 2023


  • Experimental design
  • Machine learning
  • Statistical modeling
  • Transportation analysis

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Automotive Engineering
  • Transportation
  • General Environmental Science
  • Urban Studies
  • Management Science and Operations Research


Dive into the research topics of 'Road user behavior: Describing, inferring, predicting and beyond'. Together they form a unique fingerprint.

Cite this