The Detroit RiverFront Conservancy (DFRC) has partnered with the University of Michigan to use data collected by remote sensors and security cameras to better understand how people are currently using the Riverfront and to inform strategies to enhance the use of under-utilized areas.
The approximate number of people that visit the Detroit riverfront each year
Of Detroit River frontage from Joe Louis Arena to Gabriel Richard Park
Of camera data collected a year
The Detroit Riverfront Conservancy (DFRC), which is coordinating development of the Riverfront area, is interested in better understanding the ways in which visitors use their recreational spaces. Parks are one of the most essential ingredients to the success of any vibrant city because they offer a recreational venue where patrons can commune with nature while enjoying a rich set of social experiences. The value of parks is well established with benefits ranging from being engines of economic growth to improving public health.
This project partners with the DRFC to explore the development of a data-driven approach to measuring usage of the park and trails. The DRFC has struggled to fully understand how the park space that they manage is used. The overarching goal of this project is to develop and deploy new approaches to collecting data to quantitatively assess how patrons use city parks and trails including mapping their trajectories within the space and identification of patron activities. This allows park managers to make more informed, data-based decision on how to improve the experience of park patrons while also informing communities on the performance of their parks.
There is currently an extensive network of security cameras in use along the Riverfront. Using human activity recognition tools on the video obtained from the security cameras and the data collected by other remote sensing devices, researchers from the University of Michigan are able to distinguish between different activities that people engage in along the Riverfront. For example, the human activity recognition software classifies human activities into one of four categories: gestures, interactions with other people of objects, actions like walking or running, and group activities.
By understanding how areas of the Riverfront are used, Lynch’s team is able to provide recommendations to the DRFC about where to add amenities like benches and lights and to provide access. When changes are implemented, they can then test in real time the effectiveness of these changes.
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Mapping detailed geographies of digital access and exclusion across Detroit’s neighborhoods.
Using autonomous sensors and valves to create “smart” stormwater systems to reduce flooding forecasting, and improve water quality.
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Optimizing phosphorus removal at Detroit’s water treatment facility, to keep it out of lakes and rivers.
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Application of real-time sensing and dynamic control on existing wastewater infrastructure to reduce the frequency and volume of Combined Sewer Overflows.
Installing special toilets and urinals at a University of Michigan building to concentrate urine, sanitize it, and prepare it for re-use as fertilizer.
Donald Malloure Department Chair, Department of Civil and Environmental Engineering
Professor of Civil and Environmental Engineering
Professor of Electrical Engineering and Computer Science
Jerome P. Lynch, Ph.D. has been a member of the faculty at the University of Michigan since 2003. He is currently the Donald Malloure Department Chair of Civil and Environmental Engineering. He is a Professor of Civil and Environmental Engineering and a Professor of Electrical Engineering and Computer Science. In addition to his work as the Director of the U-M Urban Collaboratory Initiative, he is also the Director of the Laboratory for Intelligent Systems Technology (LIST).
Dr. Lynch’s work focuses on the boundary between traditional civil engineering and related engineering disciplines (such as electrical engineering, computing science, and material science), converting infrastructure systems into more intelligent and reactive systems through the integration of sensing, computing, and actuation technologies. These cyber-physcial systems (CPS) greatly enhance performance while rendering them more resilient against natural and man-made hazards.
Dr. Lynch completed his graduate studies at Stanford University where he received his Ph.D. in Civil and Environmental Engineering in 2002, M.S. in Civil and Environmental Engineering in 1998, and M.S. in Electrical Engineering in 2003. Prior to attending Stanford, Dr. Lynch received his B.E. in Civil and Environmental Engineering from the Cooper Union in New York City. He has co-authored one book and over 200 articles in peer reviewed journal and conferences. Dr. Lynch has been awarded the 2005 ONR Young Investigator Award, 2009 NSF CAREER Award, 2009 Presidential Early Career Award for Scientists and Engineers (PECASE), 2012 ASCE EMI Leonardo da Vinci Award and 2014 ASCE Huber Award.