Integrated Highway Safety Information System (HSIS) datasets by means of a Roadway Safety Data Integrator (RSDI) tool.The datasets and tool presented in this article are related to the research article entitled "Improving crash predictability of the Highway Safety Manual through optimizing local calibration process" (Dadvar et al., 2020) [1], in which these datasets were used to investigate alternative local calibration methods for the Highway Safety Manual (HSM) [2] local application.  A tool named Roadway Safety Data Integrator (RSDI) was developed for combining, segmenting, and selecting homogeneous (unchanged during the study period for certain variables of interest) HSIS roadway segments and also crash assignment by desired crash attributes (e.g., crash severity or type).  The RSDI tool can be helpful for integrating different safety-related datasets such as roadway inventory (including grade, curve, and other subsets), traffic volume, and motor vehicle crash data; also, it can do required segmentation and identify the homogeneous roadway segments over the desired years of study that are the basis for development and calibration of the HSM predictive models.  The datasets and RSDI tool would be important sources generally for investigating highway safety research questions and in particular, for HSM-related analyses.  The RSDI tool can be used for similar purposes and it is not limited to the HSIS data.  The datasets and RSDI tool are hosted in the Mendeley Data repository [4].
RSDI