Safe-D: Safety through Disruption

Blog Archives


TTI-Student-06 Quantifying the Benefits and Harms of Connected and Automated Vehicle Technologies to Public Health and Equity


TTI-Student-06 Quantifying the Benefits and Harms of Connected and Automated Vehicle Technologies to Public Health and Equity
12 Downloads

04-104 Development of a Connected Smart Vest for Improved Roadside Work Zone Safety


04-104 Development of a Connected Smart Vest for Improved Roadside Work Zone Safety
39 Downloads

04-115 Reference Machine Vision for ADAS Functions


04-115 Reference Machine Vision for ADAS Functions
25 Downloads

VTTI-00-022 Automated Truck Mounted Attenuator


VTTI-00-022 Automated Truck Mounted Attenuator
33 Downloads

SDSU-01-01 Prediction of Vehicle Trajectories at Intersections Using Inverse Reinforcement Learning


SDSU-01-01 Prediction of Vehicle Trajectories at Intersections Using Inverse Reinforcement Learning
23 Downloads

04-113 Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements


04-113 Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements
41 Downloads

04-103 Examining Seniors Adaptation to Mixed Function Automated Vehicles Analysis of Naturalistic Driving Data


04-103 Examining Seniors Adaptation to Mixed Function Automated Vehicles Analysis of Naturalistic Driving Data
122 Downloads

04-098 Data Mining Twitter to Improve Automated Vehicle Safety


04-098 Data Mining Twitter to Improve Automated Vehicle Safety
120 Downloads

04-101 Safety Impact Evaluation of a Narrow Automated Vehicle-Exclusive Reversible Lane on an Existing Smart Freeway


04-101 Safety Impact Evaluation of a Narrow Automated Vehicle-Exclusive Reversible Lane on an Existing Smart Freeway
43 Downloads

TTI-01-01 Analysis of an Incentive-Based Smartphone App for Young Drivers


TTI-01-01 Analysis of an Incentive-Based Smartphone App for Young Drivers
94 Downloads

03-036 Modeling Driver Responses During Automated Vehicle Failures


03-036 Modeling Driver Responses During Automated Vehicle Failures
119 Downloads

03-072 Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles


03-072 Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles
88 Downloads

03-073 Autonomous Emergency Navigation to a Safe Roadside Locations


03-073 Autonomous Emergency Navigation to a Safe Roadside Locations
67 Downloads

VTTI-00-029 Real-world Use of Automated Driving Systems and their Safety Consequences


VTTI-00-029 Real-world Use of Automated Driving Systems and their Safety Consequences
114 Downloads

TTI-Student-02 Development of Analytic Method to Determine Weaving Patterns for Safety Analysis near Freeway Interchanges with Access Management Treatments


TTI-Student-02 Development of Analytic Method to Determine Weaving Patterns for Safety Analysis near Freeway Interchanges with Access Management Treatments
174 Downloads

03-082 Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’


03-082 Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’
140 Downloads

03-087 Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving


03-087 Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving
356 Downloads

02-019 Identification of Railroad Requirements for the Future Automated and Connected Vehicle (AV/CV) Environment


02-019 Identification of Railroad Requirements for the Future Automated and Connected Vehicle (AV/CV) Environment
215 Downloads

03-051 Resomous ponse of AutonVehicles to Emergency hicles (RAVEV) Response Vehicles


03-051 Resomous ponse of AutonVehicles to Emergency hicles (RAVEV) Response Vehicles
120 Downloads

02-014 Formalizing Human- Machine Communication in the Context of Autonomous Vehicles


02-014 Formalizing Human- Machine Communication in the Context of Autonomous Vehicles
239 Downloads

VTTI-00-020 Standardized Performance Evaluation of Vehicles with Automated Capabilities


VTTI-00-020 Standardized Performance Evaluation of Vehicles with Automated Capabilities
162 Downloads

TTI-Student-05 Exploring Crowdsourced Monitoring Data for Safety Final Research Report


TTI-Student-05 Exploring Crowdsourced Monitoring Data for Safety Final Research Report
400 Downloads

TTI-01-03 Comparison of SHRP2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps Final Research Report


TTI-01-03 Comparison of SHRP2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps Final Research Report
290 Downloads

02-008 Optimizing the Lateral Wandering of Automated Vehicles to Improve Roadway Safety and Pavement Life


02-008 Optimizing the Lateral Wandering of Automated Vehicles to Improve Roadway Safety and Pavement Life
1077 Downloads

01-003 Data Mining to Improve Planning for Pedestrian and Bicyclist Safety


01-003 Data Mining to Improve Planning for Pedestrian and Bicyclist Safety
641 Downloads

02-009: Vehicle Occupants and Driver Behavior: An Assessment of Vulnerable User Groups


02-009: Vehicle Occupants and Driver Behavior: An Assessment of Vulnerable User Groups
377 Downloads

01-006 Implications of Truck Platoons for Roadside Hardware and Vehicle Safety


01-006 Implications of Truck Platoons for Roadside Hardware and Vehicle Safety
530 Downloads

01-005 Factors Surrounding Child Seat Usage in Rideshare Services


01-005 Factors Surrounding Child Seat Usage in Rideshare Services
904 Downloads

TTI-03-01 Emerging Legal Issues for Transportation Researchers Using Passively Collected Data Sets


TTI-03-01 Emerging Legal Issues for Transportation Researchers Using Passively Collected Data Sets
577 Downloads

03-050 Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)


03-050 Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)
668 Downloads

03-040 Examining Senior Drivers Adaptation to Mixed Level Automated Vehicles: A Naturalistic Study


03-040 Examining Senior Drivers Adaptation to Mixed Level Automated Vehicles: A Naturalistic Study
610 Downloads

01-001 Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data


01-001 Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data
401 Downloads

TTI-Student-04 Motorcycle Crash Data Analysis to Support Development of a Retrofit Concrete Barrier System for Freeway Ramps


TTI-Student-04 Motorcycle Crash Data Analysis to Support Development of a Retrofit Concrete Barrier System for Freeway Ramps
517 Downloads

01-004 Driver Training Research and Guidelines for Automated Vehicle Technology


01-004 Driver Training Research and Guidelines for Automated Vehicle Technology
683 Downloads

02-016 Final Research Report: Older Drivers and Transportation Network Companies: Investigating Opportunities for Increased Safety and Improved Mobility


02-016 Final Research Report: Older Drivers and Transportation Network Companies: Investigating Opportunities for Increased Safety and Improved Mobility
405 Downloads

02-020 Final Research Report: Behavior-based Predictive Safety Analytics – Pilot Study


02-020 Final Research Report: Behavior-based Predictive Safety Analytics – Pilot Study
1142 Downloads

TTI-01-04 Final Research Report: Influences on Bicyclists and Motor Vehicles Operating Speed within a Corridor


TTI-01-04 Final Research Report: Influences on Bicyclists and Motor Vehicles Operating Speed within a Corridor
1014 Downloads

Abstract

This research explored (1) the relationship between suburban vehicle operating speed and roadway characteristics, especially the presence of bicyclists and (2) whether crowdsourced speed data could be used to estimate the unconstrained speed for a location. Both vehicle volume per lane and bicycle volume were found to be influential in affecting average speed on lower speed urban arterial roadways. For 40.3 km/hr (25 mph) sites, an increase of 19 vehicles per 15-min period would decrease average speed by 1.6 km/hr (1 mph), and an increase of more than 39 bicyclists per 15-min period would decrease average vehicle speed by a similar amount. Because of the limited number of 15-min periods with bicycle counts greater than 1, the research team also developed a model using all available 15-min periods with on-road speed data. Speed and volume data in 15-min increments for 2 weeks at nine sites were obtained using on-road tubes and via a vendor of crowdsourced speed data. The difference between the tube data and the crowdsourced data was calculated and called TMCS as a representation of tube (T) minus (M) crowdsourced (CS). The geometric variables that had the greatest influence on TMCS were the number of signals and the number of driveways within a corridor. When only including non-congested periods, weekends (Saturday or Sunday) were associated with the smallest TMCS.

02-027 Final Research Report: Street Noise Relationship to Bicycling Road User Safety


02-027 Final Research Report: Street Noise Relationship to Bicycling Road User Safety
1041 Downloads

Abstract

Vulnerable road users, such as bicyclists, experience road noise directly. This study explored the relationship between bicycle crash risk and street-level road noise as measured in Austin, Texas and the Washington, D.C. metropolitan area, in addition to other factors. Construction and validation of a method to measure noise directly using consumer-accessible tools supports additional studies as well as potential public crowdsourcing applications for urban planning. Results from the two case sites were mixed. Street noise, as measured on our chosen routes, was not a consistent predictor of bicycle crash risk. However, our model explained over 87% of the variation in crash risk in the Washington, D.C. metropolitan area route, considering infrastructure, nearby bicycle commute mode share, and street noise. Findings from the two routes using our modeling approaches are not exhaustive, but rather an initial exploration of these relationships to support further work on the role of street noise in planning for safety.

02-026 Final Research Report: Sources and Mitigation of Bias in Big Data for Transportation Safety


02-026 Final Research Report: Sources and Mitigation of Bias in Big Data for Transportation Safety
746 Downloads

Abstract

Emerging big data resources and practices provide opportunities to improve transportation safety planning and outcomes. However, researchers and practitioners recognize that big data includes biases in who the data represents and accuracy related to transportation safety statistics. This study systematically reviews both the sources of bias and approaches to mitigate bias through review of published studies and interviews with experts. The study includes quantified analysis of topic frequency and evaluation of the reliability of concepts by using two independent trained coders. Results show a need to keep transportation experts and the public central in determining the right goals and metrics to evaluate transportation safety, in the development of new methods to relate big data to the total population’s transportation safety needs, in the use of big data to solve difficult problems, and to work ahead of emerging trends and technologies.

02-010 Final Research Report: Safety Perceptions of Transportation Network Companies (TNCs) by the Blind and Visually Impaired


02-010 Final Research Report: Safety Perceptions of Transportation Network Companies (TNCs) by the Blind and Visually Impaired
538 Downloads

Abstract

For individuals that are visually impaired, access to safe and reliable transportation can be a significant challenge. The limited menu of mobility options can culminate in a reduced quality of life and more difficulty accessing housing and employment, relative to sighted individuals. Transportation network companies (TNCs, or ridesharing companies) have emerged as a new mode of travel that has the potential to increase access to transportation for the visually impaired. The opportunities and challenges for TNC use by individuals with blindness or visual impairment has not been widely studied. The goal of this research is to use both qualitative and quantitative methods to identify how this community perceives the safety of TNCs relative to other travel modes, and how they utilize TNCs for safe travel. The findings suggest that TNCs are used by a significant proportion of this population. The findings also suggest that one’s experience (or lack thereof) with TNC use has a strong influence on the safety perceptions of this new mode of travel. Finally, while TNCs present an opportunity for riders that are visually impaired to become more engaged in myriad activities, there are still areas in which ridesharing companies can make improvements.

TTI-01-05 Final Research Report: Exploring the Science of Reflectivity: Curriculum for Grades 4 through 6


TTI-01-05 Final Research Report: Exploring the Science of Reflectivity: Curriculum for Grades 4 through 6
146 Downloads

Abstract

According to the United States Department of Commerce, careers in science, technology, engineering, and mathematics (STEM) are growing faster than occupations in other areas. However, in-class academic concepts can seem abstract with little relevance to a student’s life. There is therefore a need for in-class curricula that links academic concepts with real-world STEM applications.
Over the past 10 years, Texas A&M Transportation Institute (TTI) researchers have developed many educational activities for elementary and middle school students (K–8)
that provide an opportunity to gain hands-on experience and insight into what transportation engineering and other STEM careers have to offer. In 2011, a TTI researcher taught approximately 300 fifth graders about the scientific principles of reflection, refraction, and retroreflectivity through a brief history of sign sheeting, handson activities, and a laboratory exercise. While these activities successfully engaged the students, it is not possible for one researcher to visit the numerous K–12 classrooms in their area, much less on a state- or nation-wide level. Therefore, TTI researchers created a curriculum and associated materials that can be used by teachers and other professionals to connect real-world applications in transportation to academic concepts to enhance the STEM learning experience for students.