Case Study Filter: Project Lifecycle

A Unified Framework for Safe System Implementation

California
Caltrans developed a safe system framework that adds hierarchy to strategies and incorporates context into decision-making.

Post SS4A Implementation Management for Albany, Georgia

Georgia
GDOT tracks its Comprehensive Safety Action Plan through a website and regular meetings of the SS4A Stakeholder Committee. Monitoring detects tool effectiveness and collects data for future funding opportunities.

NCHRP: Institutionalizing the Safe System Approach in Planning and Programming

NCHRP
The new toolkit from NCHRP Project 08-171 helps transportation agencies break down barriers to SSA adoption. It offers 30 practical strategies in areas like working with elected officials, funding, and multimodal network design.

Predictive Safety Evaluation for Effective Infrastructure Planning

Texas
Using proprietary, AASHTO, and FHWA tools, TxDOT identified safety improvements, predicted, and evaluated safety performance in early stages of project development. The tools help every DOT project become a safety project.

SOAP (Safety on All Projects)

West Virginia
SOAP (Safety on All Projects) is a process for including safety considerations on all projects, not just those with a safety focus, early in the process before bid documents are prepared.

Connecting Work Zones for Safer Construction

Delaware
DelDOT's Accelerating Digital Inspection Practices with Connected Machinery (ADCMS) project involves collaborating with contractors and tech providers to share telematics data from construction equipment, enhancing work zone safety.

Systemic Countermeasures Implementation and Tracking

Virginia
Virginia DOT created a statewide inventory and tracking system for the performance of countermeasures, leading to better communication among employees and partners, and the ability to track ongoing progress.

Safer By Design Safety Scoring Tools

Texas
TxDOT's Safety Scoring Tools help designers understand the safety impacts of design elements and optimize safety in projects.

A Machine Learning Approach to Systemic Safety Project Location Identification

Ohio
ODOT used machine learning to identify locations for systemic safety projects, focusing on pedestrian and roadway departure crashes.

Pedestrian Safety Improvements in Project Planning and Scoping

Nebraska
Nebraska DOT uses a variety of data analysis and screening methods during project planning and scoping to select countermeasures. Methods are also applied to systemic safety projects.