Dr. Fred Mannering

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Title: Data analytics and the promise of artificial intelligence to improve highway safety
Abstract: The rapidly increasing availability of artificial intelligence (AI) offers the opportunity to revolutionize highway safety by ushering in an age of unprecedented improvements in highway safety strategies. However, the application of artificial intelligence/machine learning (AI/ML) can be fraught with analytic issues, many of which are shared with traditional data analytics (statistical/econometric methods) that have long been the mainstay of safety research. This talk discusses some of the fundamental analytic issues that need to be considered in highway safety applications of AI/ML (including autonomous vehicles). In addition, AI/ML is viewed as an opportunity to address safety-related issues that have been historically overlooked and those that have yet to be fully imagined.
Presenter: Dr. Fred Mannering is the Executive Director of the Center for Urban Transportation Research and a Professor in the Department of Civil and Environmental Engineering at the University of South Florida. He was previously Head of Civil Engineering and later the Charles Pankow Professor of Civil Engineering at Purdue University, Professor and Chair of Civil and Environmental Engineering at the University of Washington, and an Assistant Professor at the Pennsylvania State University. He received his undergraduate degree from the University of Saskatchewan, Masters degree from Purdue University, and PhD from the Massachusetts Institute of Technology. His body of work has been cited over 35,000 times in Google Scholar, over 15,000 times in the Web-of-Science core collection database, and over 19,000 times in Scopus. Dr. Mannering has published over 160 refereed journal articles, two widely adopted textbooks, over sixty other publications (conference proceedings, project reports, book reviews and commentaries), and has given over 150 invited lectures, keynote speeches, and presentations at professional conferences.
He is the Founding Editor and currently the Editor-in-Chief of Elsevier Science’s Analytic Methods in Accident Research (Web of Science 2022 Journal Impact Factor = 12.9 , ranked 1st among transportation journals) and was previously Editor-in-Chief of Elsevier Science’s Transportation Research Part B: Methodological. Some of his awards and recognitions include: Web-of-Science Highly Cited Researcher (2019, 2020, 2021, 2022); Council of University Transportation Centers Lifetime Achievement Award (2021); most highly-cited author (highest total citations and citations per paper) in the 50-year history of the journal Accident Analysis and Prevention (2020); Eno Foundation’s “Top 10 Transportation Thought Leaders in Academia” (2016); Charles B. Murphy Outstanding Undergraduate Teaching Award (Purdue University’s highest undergraduate teaching honor, 2013); induction into Purdue University’s “Book of Great Teachers” (2013); and the Arthur M. Wellington Prize (2010), James Laurie Prize (2009), and Wilbur S. Smith Award (2005) all awarded by the American Society of Civil Engineers.