Recent progress in technology has facilitated the design, testing, and deployment of traffic signal priority strategies for transit buses. However, a clear consensus has not emerged regarding the evaluation of these ...

This study developed an integrated framework for modeling the safety outcomes of naturalistic driving studies and addressed several critical methodological issues. The results indicate a certain level of discrepancy between ...

This report presents the evaluation results of the Phoenix, Arizona Metropolitan Model Deployment Initiative (MMDI). The MMDI was a three-year program of the Intelligent Transportation Systems (ITS) Joint Program Office ...

By employing the functionality of GIS, code was written which allows for an automated process to compare the GPS data recorded in the naturalistic driving data with geographic map data from the U.S. Census Bureau and road ...

Phase II-- Study 1 was performed as a stepping stone to expand the knowledge of how different vision enhancement systems can affect detection and recognition of different types of objects. The empirical testing for this ...

The Fancy Gap and Afton Mountain interstates have a long history of fog-related, multivehicle crashes. Because of its earlier involvement in the installation and evaluation of the original Afton Mountain in-pavement fog ...

Fatigue is a major risk factor in commercial motor vehicle operations, identified in naturalistic driving studies as a contributing factor in approximately 20 percent of safety-critical incidents. Understanding the nature ...

This document presents the evaluation framework that the Virginia Tech Transportation Institute (VTTI) has prepared for Phase II of the Virginia Department of Transportation's (VDOT) I-81 ITS Model Safety Corridor Program, ...

Rear-end crashes are the most frequently occurring type of collision, accounting for approximately 29% of all crashes and resulting in a substantial number of injuries and fatalities each year. Rear-end collisions in which ...

Drowsiness has a globally negative impact on performance, slowing reaction time, decreasing situational awareness, and impairing judgment. A field operational test of an early prototype Drowsy Driver Warning System was ...