Johnathon Ehsani (Center for Injury Research and Policy, Department of Health Policy and Management, Department of Health, Behavior and Society, Bloomberg School of Public Health)

Tak Igusa (Center for Systems Science and Engineering, Department of Civil Engineering, Whiting School of Engineering)

Hadi Kharrazi (Center for Population Health Information Technology, Department of Health Policy and Management, Johns School of Public Health)

Autonomous vehicles (AVs) have the potential to transform mobility and reduce the burden of motor vehicle crashes. Before this future can become reality, there is a need for extensive testing of AVs. A key challenge for AV developers is determining the location and timing of AV testing. While AV engineers are mastering factors such as motion control, path planning, localization, perception and mapping, they have not yet considered in suitable depth, the epidemiology of crash risk, particularly within urban settings. In this collaboration between public health and systems engineering, we will develop an epidemiology-based simulation tool, operating within IDIES’ SciServer, that would enable AV R&D to generate high-resolution data of crash risk to inform the development of AV testing programs.