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General

Legacy ID
21

Safety Data Resources

Task B3-3: Identify CMF Research Needs—Safety Data Resources

This document identifies safety databases that could be used to help accomplish the following tasks, through other Federal Highway Administration (FHWA) or partner efforts, related to crash modification factor (CMF)...

Strategy and Technology Tracking Structure

Task B3-3: Identify CMF Research Needs

Structure for Tracking New Safety Strategies and Technologies

Background

A method is needed to track new strategies and technologies as they are developed and deployed on our Nation’s roadways...

IHSDM Library

The IHSDM Library includes all recently published materials on IHSDM in online and/or hard copy format. Past published materials, denoted as archive, are also available; these materials are somewhat dated, but may still contain information of interest to serious researchers. Some publications...

IHSDM Resource List 2019

A product of the Federal Highway Administration’s (FHWA) Safety Research and Development Program, the Interactive Highway Safety Design Model (IHSDM) is a suite of safety analysis tools to evaluate the safety and operational effects of geometric-design decisions on highways.

IHSDM Flyer 2017

Improving roadway safety continues to be at the forefront of all stages of project development, including planning, alternatives analysis, design, construction, and operations.

Interactive Highway Safety Design Model (IHSDM): Overview

IHSDM is a suite of software analysis tools used to evaluate the safety and operational effects of geometric design decisions on highways.

IHSDM is a decision-support tool that provides estimates of a highway design's expected safety and operational performance....

News Archive

Most Recent News

SHRP 2 Naturalistic Driving Study Pooled Fund: Advancing Implementable Solutions TPF 5(361)


Seven State DOTs (AL, CT, IA, IL, NV, UT, WA) and three FHWA Offices (Office Safety R&D, Office of Operations, Office of Planning, Environment...

Tools

Some of the tools currently being developed to extract information from the video data are:

  1. Automated video decoding/data extraction.
  2. Automated extraction of facial features from video.
  3. Automated masking of the identity of participants.
...