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UID:2026090712245420230915T11000020230915T1200006a9e04567addc@uic.edu
CATEGORIES:MEETING
STATUS:TENTATIVE
DTSTAMP:20231101T053503
DTSTART:20230915T110000
DTEND:20230915T120000
SUMMARY:Innovative Data-Driven Solutions for Traffic Operations
DESCRIPTION:Presenter: Yao-Jan Wu, Ph.D., P.E. University of Arizona  Location: 1047 ERF  Abstract:  With the advent of ubiquitous technologies and the emergence of modern traffic sensors, one of the primary strategies of transportation agencies for maintaining the safety, mobility, and efficiency of a transportation system is to use Intelligent Transportation System (ITS) technologies and innovative data-driven strategies. An efficient transportation system should keep a balance between mobility on freeways and accessibility on arterials. This presentation will discuss the innovative data-driven solutions developed by the Center for Applied Transportation Sciences (CATS) at the University of Arizona and how these solutions can help transportation engineers deal with common traffic operations and safety issues on both freeways and arterials in Arizona. In addition, the presentation will also cover how CATS collaborates with multiple local jurisdictions to deal with larger transportation issues with specific strategies and a clear vision.  Speaker Bio:  Dr. Yao-Jan Wu is an associate professor of transportation engineering in the Civil and Architectural Engineering and Mechanics Department and the Executive (Founding) Director of the Center for Applied Transportation Sciences (CATS) at the University of Arizona (UA). He has served as the Principal Investigator (PI) or Co-PI of over 50 national/international research projects. Dr. Wu has more than 100 refereed publications, including more than 60 journal publications. He has presented his research findings more than 100 times at national and international conferences, and invited speaker events. Dr. Wu?s research interests highlight a strong connection between information technology (IT) and traditional transportation research. His research broadly covers four major fields: 1) intelligent transportation systems 2) data-driven large-scale transportation system analysis and optimization, 3) traffic safety, and 4) sustainable transportation planning.    Dr. Wu currently serves as an associate editor of Transportation Research Record (TRR), and editorial board members of both Transportation Research Part C, and Journal of Intelligent Transportation Systems. | Event post: https://cme.uic.edu/events?page_id=4192
LOCATION:1047 ERF 842 W. Taylor St.  Chicago IL 60607
CLASS:PRIVATE
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