This project will conduct an analysis of the current state of child passengers and child safety seat use in ride-sourced vehicles along with other more traditional sources of transit such as taxicabs.
Abstract This project supports a student in support of the National Cooperative Highway Research Program (NCHRP) Project 07-23 Access Management in the Vicinity of Interchanges and was led by Karen Dixon (TTI/TAMU)* and Maryam Shirinzadeh Dastgiri (TAMU). This project used a large volume of operational field data, micro-simulation data, and crash data to identify linkages between interchange design, driveway placement, and upstream major intersection location that affect corridor safety. The effort primarily focused on the diamond interchange configuration that is very common in the United States. The methods for determining corridor safety near interchanges can create challenges. Due to … Development of Analytic Method to Determine Weaving Patterns for Safety Analysis near Freeway Interchanges with Access Management Treatments (TTI/TAMU)
Media Contact Eric Holbrook 540-231-9301 eholbrook@vtti.vt.edu News Archive Eileen Herbers named among top transportation students in the country January 9, 2024 (Virginia Tech News) – A fifth-year doctoral student in biomedical engineering and mechanics at Virginia Tech, Eileen Herbers, was named the Student of the Year for the Safe-D: Safety through Disruption University Transportation Center. Herbers was presented with the award for her work on measuring the potential safety impact of automated driving systems at the Council of University Transportation Centers Awards Banquet preceding the Transportation Research Board Annual Meeting on Jan. 6. Virginia Tech Transportation Institute researchers to … Press
Recording Title/Project/Date Speaker Webinar Overview Link (YouTube) Title: Micromobility Regulation Best Practices Review: Scoot Now, Regulate Later Project: Safe-D TTI-05-04 Date: March 26, 2024 Gretchen Stoeltje, J.D., Texas A&M Transportation Institute This webinar will present the scope, methodology and findings of the Safe-D project Micromobility Regulation Best Practices Review (aka Scoot Now, Regulate Later). This project sought to locate data about e-scooter crashes, their actual causes, who or what party was responsible for the cause, and who or what party might be legally liable for the cause based on a combination of statutory and contractual assignment of that liability. The … Webinar Archive
The Safe-D Fall 2018 Workshop was held on September 12, 2018, kicking off the Fall 2018 Call for Proposals.
This project seeks to understand the existing systems and how they can be leveraged to provide the City with insight and suggested countermeasures to address the safety issues on these roadways.
Abstract Automated vehicle technologies vary from simple alerts to partially automated driving tasks that are increasingly available in today’s vehicles. Advanced driver assistance systems (ADAS) seek to alert a driver to critical events (e.g., forward collision warning) or even intervene (e.g., emergency braking, lane-keeping steering) to prevent crashes. These technologies, however, are not available equally across the passenger vehicle fleet, nor is there standardization in how their uses and limitations are marketed to potential buyers or demonstrated at point of sale, including by increasingly popular online “dealerships” like Vroom and Carvana. The proliferation of ADAS has also outpaced current crash … Critical Areas in Advanced Driver Assistance Systems Safety: Point of Sale and Crash Reporting
This project seeks to explore the possibilities of using large sets of naturalistic crash and behavior data collected as part of commercial fleet- and behavior change management programs, collecting tens of thousands of crashes annually.
This project will assess the potential of TNCs to enhance safety by decreasing the number of older drivers on the roadways while increasing their mobility options.
This project will identify the factors that contribute to crashes in mixed traffic with automated and human-driven vehicles through data analysis, simulation, and field tests. Moreover, it will develop measures and guidelines to minimize the risk of such crashes.