Safe-D: Safety through Disruption

Projects: Connected Vehicles


Cooperative Perception of Connected Vehicles for Safety

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Abstract This project develops vision-based cooperative perception and accident (crash) avoidance trajectory plans in dynamic environments for two connected vehicles in which the ego vehicle would face a potentially unseen hazard ahead but could receive safety-critical information from a vehicle in front and estimate/predict the trajectory of the potential hazard. There are several challenging technical […]

A Holistic Work Zone Safety Alert System through Automated Video and Smartphone Sensor Data Analysis

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Abstract This project is inspired by major gaps identified in the literature pertaining to the work zone safety monitoring systems that leverage advanced technologies for tracking workers, identifying hazardous situations, and alerting individuals in danger. The existing systems have two key shortcomings. First, they either target safety hazards external to the work zone (e.g., only […]

A data driven approach to the development and evaluation of acoustic electric vehicle alerting systems for vision impaired pedestrians

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Abstract The steady increase of electric vehicles (EVs) has led to safety concerns for vulnerable populations. EVs produce considerably less noise compared to the internal combustion engine (ICE) vehicles, especially at low speeds. Although pedestrians across all demographics are at risk, visually impaired pedestrians face significantly greater disadvantages in environments where ambient noise levels are […]

Investigating and Developing Methods for Traditional Participant-based Data Collection with Remote Experimenters

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Abstract The research team will investigate and develop methods and technologies that would allow experimenters to conduct and monitor data collection from a remote location. Although it is often required for researchers to supervise experiments, physically removing them from the vehicle can increase realism and offer naturalistic observations in traditional, experimenter-conducted studies. We expect this […]

Automated Shuttles and Buses for All Users

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Abstract Individuals using wheelchairs and those with limited or no sight face extra safety issues in the use of public transit, as well as personal vehicles, including getting to and from a bus or shuttle stop, getting on and off a vehicle, and being secure while riding in a vehicle. The demonstrations of automated shuttles […]

Evaluation of transportation safety against flooding in disadvantaged communities

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  Abstract The goal of the proposed project is to systematically extract traffic safety information from multiple complex sources of flood monitoring such as remote sensing technologies, flow gages, and weather stations, which can support informed planning for transportation safety against flooding in future smart cities. Flooding poses a significant hazard to the moving vehicles […]

Prediction of Vehicle Trajectories at Intersections Using Inverse Reinforcement Learning

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The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety systems which aim to identify critical events such as near crash situations and traffic violations. In a connected environment, important information about these critical events can be communicated to road users or the infrastructure to avoid or mitigate potential crashes.

Driving Risk Assessment Based on High-frequency, High-resolution Telematics Data

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This project w​ill contribute to connected vehicles and ADS real-time safety monitoring, NDS data analysis, hail-driving driver safety prediction, as well as fleet and driver safety management programs.​​​​​​​

Analysis of Advanced Driver-Assistance Systems in Police Vehicles

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Motor vehicle crashes are the leading cause of deaths for police officers. These crashes have been mainly attributed to the use of in-vehicle technologies while driving.

Connected Vehicle Data Safety Applications

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Today’s connected vehicles have an abundance of electronics and sensors that can passively collect data on driving behaviors, mechanical status, and physical roadway conditions.

Guiding Driver Responses During Manual Takeovers from Automated Vehicles

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This project will leverage VTTI’s virtual reality driving platform that allows the research team to rapidly prototype various HMI options and examine human-subjects’ responses in various takeover scenarios.

Impacts of Connected Vehicle Technology on Automated Vehicle Safety

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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. ​​​​​​​​​​​​

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 Connected Smart Vest for Improved Roadside Work Zone Safety

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This project will develop a wearable worker localization and communication device (i.e., Smart Vest) that utilizes the previously developed Threat Detection Algorithm (Safe-D project 03-050) to communicate workers’ locations to passing CAVs and proactively warn workers and passing motorists of potential collisions. ​​​​​

Automated Truck Mounted Attenuator

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This project will develop an automated control system for TMA vehicles using a short following distance, leader-follower control concept which will remove the driver from the at-risk TMA vehicle.

Signal Awareness Applications

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This project seeks to enhance the current capabilities of VCC platforms by developing new signal awareness safety and mobility features. In addition, this project will investigate the technical and human factors constraints associated with user interfaces for notifying and alerting drivers to pertinent intersection-related information to curb unsafe driving behaviors at signalized intersections.

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. ​​

Reference Machine Vision for ADAS Functions

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This project will develop a reference Lane Detection (LD) system that will provide a benchmark for evaluating different lane markings and perception algorithms. ​​​​​​​​​

Development of an Infrastructure Based Data Acquisition System (iDAS) to Naturalistically Collect the Roadway Environment

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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. ​​​​​​​​​​​​

Creating a Smart Connected Corridor to Support Research into Connected and Automated Vehicles

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This project will first define the needs and requirements for a CAV testbed​, plan, procure, and deploy the baseline equipment, and demonstrate testing capabilities for CAV safety applications.

Modeling Driver Responses During Automated Vehicle Failures

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This project will develop a model of human behavior during automation failures that may be integrated into current and future design processes for automated vehicles.

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.

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

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This project aims at addressing this problem by delivering a specification for a wearable worker localization and communication system prototype that utilizes ultra wide-band (UWB) technologies to facilitate real-time threat detection and warning algorithms.

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

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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.

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

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This project will examine freight and passenger railroad operational and infrastructure needs can be best considered in the development of future AV/CV system architecture.

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.

Formalizing Human-Machine Communication in the Context of Autonomous Vehicles

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This project will incorporate formalized communications into decision making algorithms of an autonomous vehicle.

Pavement Perspective on AV Safety through Optimizing Lateral Positioning Pattern

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This project will evaluate channelized traffic from a pavements perspective and develop guidelines for reducing AV/CV hydroplaning potential through optimizing a lateral wheel positioning pattern and designing more rut resistant pavement surfaces.

Preparing Work Zones for Automated and Connected Vehicles

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This project will examine how transportation agencies, contractors, and other stakeholders can best plan, design, and implement work zones to accommodate and support connected and automated vehicle (CAV) operations.

Implications of Truck Platoons for Roadside and Vehicle Safety Hardware

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This project will identify and prioritize the critical MASH TL5 roadside safety device(s) for truck platooning impact assessment in order to understand the associated roadside and occupant risks and hazards.