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This document reports on the crash database analysis results from Task 2a of the SAVE-IT project. This document presents the methods utilized for analysis of Michigan Highway Safety Information System data to produce crash rate look-up tables for use by the SAVE-IT system to estimate driving...
This report is a literature review that documents the research progress to date (March 1 - September 10, 2003) in Phase I. In this report, previous experiments are discussed, research findings are reported, and research needs are identified. This literature review report serves to establish the...
The purpose of this review was to examine available crash databases to assess their usefulness in determining distraction-related crash scenarios that a workload/distraction management system like SAVE-IT could be designed to prevent.
This document reports on the results of Task 1 of the SAVE-IT project. This document presents the methods utilized for analysis of CDS crash data and the soliciting of opinions from several experts in the field of driver distraction. Results from the crash database analyses are presented along...
The primary purpose of this document is to provide a concise summary of the overall SAVE-IT program.
This report documents an evaluation of a vehicle prototype that uses real-time measurements of driver head pose to modulate lane departure warning (LDW) and forward crash warning (FCW) decisions. The system also uses real-time estimates of the demands of driving to allow, advise against, or...
The goal of this work was to assess the potential safety benefits and driver acceptance of a system comprised of adaptive safety warnings and distraction mitigation strategies.
Simulator Evaluations of SAVE-IT Prototype System: Results from the SAVE-IT 2 FCW Objective.
Simulator Evaluations of SAVE-IT Prototype System: Results from the SAVE-IT 1 LDW Objectives.
Ford SAVE-IT Update to NHTSA: October 31, 2008. Ford Team Members: Mike Blommer, Reates Curry, Jeff Greenberg, Dev Kochhar, Louis Tijerina, Craig Simonds, and David Watson.