Theme Areas: Big Data Analytics, Connected Vehicles
Abstract Humans operating motor vehicles are often required to engage in decision-making while under substantial cognitive loads imposed by the driving environment itself. Experiencing elevated emotions can influence driver decision-making in a way that increases the risk to the safety of the driver and system performance. Emotion regulation techniques (ERTs) can be used to improve […]
Theme Areas: Automated Vehicles, Connected Vehicles
Abstract Although parking facilities are one of the main components of transportation infrastructure, little is known about the incidence of crashes, injuries, and fatalities that occur because of parking. Parking facilities are intense driving environments that require both drivers and pedestrians to pay close attention. Slower speeds in parking facilities give people a false […]
Theme Areas: Big Data Analytics, Connected Vehicles
Abstract Safety issues that stem from commercial truck parking shortages are a national concern. National hours-of-service (HOS) regulations limit drivers’ time on the road, in an attempt to increase safety by limiting fatigue; thereby, creating a need for drivers to locate safe, secure, and legal parking wherever they are when or before they hit […]
Theme Areas: Automated Vehicles, Connected Vehicles
Abstract In the previous Safe-D project 04-104, a prototype wearable Personal Protective Equipment vest was developed and demonstrated that accurately localizes, monitors, and predicts potential collisions between work zone workers and passing motorists. The system also notifies the worker of when they’re about to depart safe geo-fenced safe areas within work zones. While the design […]
Theme Areas: Automated Vehicles, Connected Vehicles
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 […]
Theme Areas: Big Data Analytics, Connected Vehicles
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 […]
Theme Areas: Automated Vehicles, Connected Vehicles
Abstract The steady increase of electric vehicles (EVs) has led to safety concerns for vulnerable populations. EVs produce considerably less noise compared to 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 high […]
Theme Areas: Automated Vehicles, Connected Vehicles
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 […]
Theme Areas: Automated Vehicles, Connected Vehicles
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 […]
Theme Areas: Big Data Analytics, Connected Vehicles
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 […]
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Big Data Analytics, Connected Vehicles
This project will 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.
Theme Areas: Connected Vehicles
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.
Theme Areas: Big Data Analytics, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles, Transportation as a Service
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles, Transportation as a Service
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.
Theme Areas: Automated Vehicles, Connected Vehicles
This project will develop a reference Lane Detection (LD) system that will provide a benchmark for evaluating different lane markings and perception algorithms.
Theme Areas: Automated Vehicles, Big Data Analytics, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Big Data Analytics, Connected Vehicles, Transportation as a Service
This project will the data ownership and privacy implications of big data collection and processing.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Big Data Analytics, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Big Data Analytics, Connected Vehicles, Transportation as a Service
This project will examine disruptive technologies that could address critical transportation safety challenges in future years.
Theme Areas: Automated Vehicles, Connected Vehicles
This project will incorporate formalized communications into decision making algorithms of an autonomous vehicle.
Theme Areas: Automated Vehicles, Connected Vehicles
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.
Theme Areas: Automated Vehicles, Connected Vehicles
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.