The Lab Overview
The Connected and Automated Vehicle Driving Simulation lab in School of Civil Engineering, University of Queensland was established in 2019. It consists of two desk-top driving simulators and a comprehensive simulation platform specifically designed for simulating mixed traffic with human-driven vehicles, connected vehicles, and automated vehicles. We are also a key participant of the mixed reality mobility testbed (which includes an automated vehicle, remote control and supervision equipment) at the Royal Automobile Club of Queensland (RACQ) Mobility Centre of Excellence (MCE) testing circuit, supported by the Australian Research Council (LE220100025). The state-of-the-art research facilities in the lab enable researchers and industry & government partners to investigate challenges in transitioning to the era of connected and automated vehicles, such as 1) understanding emerging, disruptive, and intelligent mobility technologies’ impact on traffic efficiency, traffic safety, energy consumption, vehicle emissions, etc.; 2) developing essential theories, the foundational algorithms and analytics that can seamlessly integrate future mobilities into the existing transportation systems; 3) establishing a new breed of control strategies tailored to maximize the power of the connected environment and vehicle automation; and 4) conducting fundamental research on complex systems modeling and the design of adaptable, controllable, resilient, and sustainable infrastructure systems (intelligent transportation systems and smart city in particular).
News: A cutting-edge e-scooter VR simulator is coming to the lab, with HTC Vive Focus 3 including Eye-Tracking System. This e-scooter simulator functions as a controller that can move a virtual e-scooter within a traffic simulation, which enables us to investigate important issues related to scooter riders' safety and their interactions with other road users.
News: A cutting-edge e-scooter VR simulator is coming to the lab, with HTC Vive Focus 3 including Eye-Tracking System. This e-scooter simulator functions as a controller that can move a virtual e-scooter within a traffic simulation, which enables us to investigate important issues related to scooter riders' safety and their interactions with other road users.