The overall objective of this research is to develop a methodology to incorporate driver characteristics and behavior into safety prediction methods to estimate the expected crash frequency and severity related to infrastructure features for use in planning, design, and operational decisions. These predictive methods will be suitable for inclusion possibly as a supplement to the 2nd edition of the Highway Safety Manual (HSM), or as part of future editions of the HSM. At different stages in the development of the safety predictive methods, the project team will engage different States and local areas for pilot testing the predictive methodology.

Project Documents

Project Details

Project ID


Start Date
August 31, 2021

End Date
June 30, 2023

Focus Areas
Data Analytics, Modeling and Simulation

The National Academies

Research Centers
Institute for Physical Infrastructure and Transportation (IPIT)

Principal Investigator

Qin, Xiao
Director, Institute for Physical Infrastructure and Transportation (IPIT)
Professor, Civil and Environmental Engineering University of Wisconsin-Milwaukee

Co-Principal Investigator