State Safety Initiative Database

Explore relevant case studies by filtering via agency, keyword, or pre-set filters in the left menu, or by using the topic tags located at the bottom of the page.

New Jersey DOT’s Safety Management System: Innovative Screening to Safety Analysis

New Jersey
NJDOT’s Safety Management System (SMS) provides valuable safety metrics for state projects. The SMS Tool generates the SMS screening previously done manually. NJDOT also developed macro-enabled automated spreadsheets from the base spreadsheets on the HSM website.

Awareness to Action: New Jersey Safe System Implementation through Training and Tools

New Jersey
NJDOT is establishing a model for Safe System implementation through workforce development initiatives, including SSA training and SSA-in-Action certification, and data-driven tools like NJ-SAFE, equipping practitioners, institutionalizing safety-focused decisions, and advancing safer roads.

Measuring Safety Benefits to Guide HSIP Investments in New Jersey

New Jersey
NJDOT uses observational before/after analyses with volume adjustment to evaluate countermeasure effectiveness and safety benefits. The poster shows how the tool supports data-driven decisions with examples: centerline rumble strips, high-friction surface treatment, and “Jersey All Red Extension.”

Improving Active Transportation Safety Data and Practice with GATIS in Oregon

Oregon
Oregon DOT is exploring the General Active Transportation Data Specification (GATIS) to unlock new insights into the relationship between infrastructure and safety incidents on Oregon sidewalks, bike lanes, intersections, and trails, supporting safety research and countermeasure implementation.

Work Zone Safe: How Oklahoma DOT Changed Teen Driver Safety Nationwide

Oklahoma
Learn how ODOT launched the nation's first required Work Zone Safe program for new teen drivers. Discover how public agency leadership, curriculum oversight, and hands-on worker engagement created a model now adopted by DOTs nationwide, reaching more than 250,000 teen drivers annually.

Evaluation of the Effectiveness of TxDOT Safer-By-Design using Crash Data

Texas
Texas DOT’s Safer-by-Design (SBD) tool, formerly known as the Safety Scoring Tool, is widely used across the state to support data-driven roadway safety decisions. The SBD is based on SPFs and CMFs. TxDOT conducted a pilot study evaluating the effectiveness of the SBD tool using crash data.

Texas Case Studies to Highlight Predictive Safety Evaluation

Texas
As part of TX’s commitment to meet Vision Zero goals, HDR is actively engaged in assisting agencies by conducting comprehensive safety evaluations across all project types. The poster will highlight a proactive and data-driven approach, leveraging industry best practices and TxDOT’s leading safety tools.

Advancing Data-Driven Safety Management in Virginia

Virginia
Virginia Department of Transportation (VDOT) relies on data-driven approaches to identify high-risk locations and guide investments in roadway safety. This combined research effort advances Virginia’s safety management practices through three complementary studies focused on freeway ramp interchanges, collector-distributor (CD) roads, and two-lane rural roads (TLRR). First, to support network screening, Safety Performance Functions (SPFs) were developed for entrance and exit ramps at public roadway (typically non-freeway, or non-limited access roads) interchanges, system to system interchange ramps, and collector-distributor roads at interchanges. Analyses revealed that SPFs developed using both Hoerl and power functions provided comparable goodness-of-fit. The resulting SPFs have been integrated into VDOT’s network screening process to identify potential for safety improvement (PSI) ramp segments. Second, VDOT calibrated the Highway Safety Manual (HSM) predictive method for ramps to support evaluating safety performance for geometric design projects on entrance ramps, exit ramps, CD roads, and connector ramps. This evaluation used data from 587 ramp segments to develop calibration factors, calibration functions, calibrate severity distribution functions (SDFs), and develop updated default crash type distributions. The results suggested that entrance and exit ramps should be calibrated separately from CD roads and connector ramps. Additionally, the results suggested that fatal and injury crashes can be calibrated separately from property damage only crashes. The study recommended calibration factors for entrance and exit ramps, and calibration functions for CD roads and connector ramps. Third, a systemic safety prioritization framework for TLRR combined a negative binomial SPF and fatal-and-injury crash density analysis to score 17,027 miles of TLRR. Segments were scored, normalized, and grouped into four risk tiers at both statewide and district levels. Then they were aggregated into corridors to support flexible segment-, curve-, or corridor-level reviews and site selections. The top 2.7 percent of segments captured nearly half of all severe roadway departure crashes, providing a repeatable, data-driven tool for statewide and district-level planning. Collectively, these studies expand Virginia’s capabilities to identify, prioritize, and address high-risk locations, advancing the Commonwealth’s commitment to the Safe System approach and enabling more strategic allocation of safety resources.