Safe-D: Safety through Disruption

Projects: Transportation as a Service


Micromobility Safety Regulation: Municipal Best Practices Review

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Abstract As rented and shared micromobility options, e-scooters are new and potentially transformative app-based modes that promise to alleviate first mile/last mile mobility issues, congestion, and more. Yet their safe deployment has not yet been systematically understood or standardized by users, cities, or operators. As of December 2019, 1,500 people had been injured and 8 […]

E-Scooter Design

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This project will result in an updated scooter design that will induce safer riding behavior. A study conducted by the Austin Public Health Department (APH) and the CDC found that only one of 190 injured e-scooter users wore helmets while operating the scooter.

Radar and LiDAR Fusion for Scaled Vehicle Sensing

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This project proposes a sensor fusion approach to augment radar data in a scaled environment that uses an off-the-shelf LiDAR as a high spatial resolution sensor.

An Evaluation of Road User Interactions with E-Scooters

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This research project will investigate road user interactions with e-scooters.

Delving into Safety Considerations of E Scooters: A Case Study of Austin, Texas

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This case-study project will provide an in-depth examination of e-scooter safety considerations through a data-driven approach using Austin as the proposed study site.

E-Scooter Safety Assessment and Campus Deployment Planning

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This project will deploy a fleet of e-scooters on the Virginia Tech campus through an exclusive, controlled research program which will collect data to assess safety impact, what behaviors are exhibited that may be beneficial or problematic, and ways in which kinematic and/or other data may be used to predict risky behavior and develop subsequent countermeasures.

A Sensor Fusion and Localization System for Improving Vehicle Safety In Challenging Weather Conditions

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This project will use a combination of Radars and FIR cameras in addition to a LIDAR based system to map the environment and localize the vehicle with respect to the lanes on the road.

Development of a Diagnostic System for Air Brakes in Autonomous and Connected Trucks

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This project will develop a diagnostic system for estimating the leakage and stroke of the pushrod and corroborating the efficacy of the developed system on an experimental air brake system setup. ​​

Legal Tools for Barriers to Accessing Data Sets in the Age of AV/CV Technologies

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This project will the data ownership and privacy implications of big data collection and processing.

Safety Perceptions of Transportation Network Companies (TNCs) by the Blind and Visually Impaired (BVI)

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This project will identify how the BVI community perceives the safety of TNCs relative to other travel modes, and how the BVI community utilizes TNCs for safe mobility.

Creating a Roadmap for Safe-D Research Themes and Application Areas: Future Directions in Disruptive Technology and Safety

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This project will examine disruptive technologies that could address critical transportation safety challenges in future years.

Older Drivers and Transportation Network Companies: Investigating Opportunities for Increased Safety and Improved Mobility

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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.

Factors Surrounding Child Seat Usage in Ride-Share Services

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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.

Analysis of an Incentive-Based Smartphone App for Young Drivers

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The project will allow analysis of data during several distinct phases of smartphone app use.