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: 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 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.
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.