Case Study Tag: Technology

Using Probe Data and Telematics for Local Traffic Safety Campaigns

Massachusetts
MassDOT uses probe and telematics data to identify safety issues in local communities. They develop targeted campaigns and use probe and telematics data to measure post-campaign behavior.

Crashes to Conflicts: Advancing Predictive Safety Evaluations with Lidar-Developed Near-Miss Analytics

Nevada
NDOT used a model with LiDAR-based all-traffic trajectory data to enhance pedestrian safety assessments at urban intersections. The data is helping planners anticipate and mitigate safety risks and develop precisely targeted improvements.

Smarter Roads Ahead: The Smart Work Zone Success at Rainbow/Veterans Bridges

Texas
Smart work zone strategies on a TxDOT bridge project improved safety for workers and the public. Temporary incident detection and surveillance, travel time, and speed monitoring systems made the project area was safer and more responsive.

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.

SR 85 Road Safety Assessment MP 58.5-80.5 — Leveraging Drone Technology at ADOT

Arizona
ADOT used drone technology for a roadway assessment in a unique situation, which enhanced safety for observers, avoided traffic impacts, and allowed for a better understanding of how to make a difference in traffic safety.

Incorporating Safety Analysis into Virginia’s Transportation Funding Prioritization Process

Virginia
Virginia's SMART SCALE program prioritizes transportation projects for funding based on safety, congestion, accessibility, land use, environmental quality, and economic viability.

Traffic Safety Data Portal

Texas
TxDOT uses a crash data portal to improve safety and educate the public. Public service announcements and further information for each emphasis area is embedded alongside the data.

Video Sharing Enhances Safety Across Texas

Texas
TxDOT's video sharing platform streams real-time video from 3,000 traffic cameras to department staff, first responders, and other partners, allowing them to respond to emergency events while minimizing congestion and secondary crashes.

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.