Bicycling is an important component of future mobility for its economic, environmental, and health benefits. However, the safety issues of riding a bicycle on roadways with mixed traffic have been a major concern.

This talk covers a number of recent research projects that utilize naturalistic driving data and naturalistic cycling data to (1) examine and understand the interactions between motorists and bicyclists, and (2) support the development of automated vehicles so that they can safely interact with bicyclists on the road. The outcomes of the work could be used to support the designs of better road infrastructures, testing and benchmarking automated driving technologies, and support laws and regulations that aim to improve the safety of all road users.

Fred Feng is an assistant professor in the Department of Industrial and Manufacturing Systems Engineering at UM-Dearborn. His research interests include behavioral data analytics, human factors, cognitive ergonomics, and human-machine interaction.