Now showing items 1-3 of 3
Regional Map-Based Analytical Platform for Statewide Highway Safety Performance Assessment
This research extended models for predicting current crash counts by severity (CCS) by developing a two-stage regression model and a generalized nonlinear regression model for formulating a new method for identifying CCS-based hotspots. The hotspot identification (HSID) method is designed to improve the safety performance ...
Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification
Hotspot identification (HSID) is a critical part of network-wide safety evaluation. Put simply, HSID involves ranking sites (e.g., roadway segments or intersections) on the basis of observed and/or estimated safety so they may be prioritized for treatment. Typical methods for ranking sites are often rooted in use of the ...
Developing a Cost-Effective Bus-to-Pedestrian Near-Miss Detection Method Using Onboard Video Camera Data
Bus-to-pedestrian near-miss data are important surrogate safety data for further pedestrian-related traffic safety studies. However, there is limited existing work on automatically extracting bus-to-pedestrian near-miss data from onboard cameras. This project fills the gap by proposing a framework to automatically detect ...