Regional Map Based Analytical Platform for State-Wide Highway Safety Performance Assessment
PI: Ali Hajbabaie (WSU), ali.hajbabaie@wsu.edu
Co-Investigators: Yinhai Wang (UW)
Dates: 01/16/2015 – 06/15/2016
Status: Completed
UTC Project Sheet
Final Technical Report
Most traffic crash modeling and safety performance analysis cannot capture impacts of dynamic factors that are often critical for understanding the occurrence mechanism of crashes and are very labor intensive.To address these deficiencies, this proposed research takes advantage of the ongoing DRIVE Net research at the University of Washington to build large-scale safety analysis functions on the data-rich eScience transportation platform. The proposed research has the following objectives: Improve current crash modeling methods; Develop a Safety Performance Index (SPI); Monitor the safety performance of the state highway network on regional map using SPI; Develop a Potential Safety Improvement Index (PSII); Develop safety improvement analysis methods for accident hotspots based on the overlapped SPI and PSII.
