Mizzou Engineers attend Transportation Research Board Meeting; earn second in Transportation Forecasting Competition
Mizzou Engineers last month attended the Transportation Research Board (TRB) Annual Meeting, the largest gathering of transportation researchers and practitioners in the world with more than 13,000 attendees. TRB is part of the National Academies of Science.
Civil Engineering team develops realistic artificial data set for road safety studies
A Mizzou Engineering team is hoping artificial intelligence (AI) can be leveraged to prevent vehicle crashes in the future. To that end, they’ve developed realistic artificial data sets (RAD) that can be used to train machines to predict the factors that cause wrecks. These data sets are now available through the U.S. Department of Transportation. The three-year $1.1M project was supported by the US DOT’s Exploratory Advance Research Program.
Engineering team develops autonomous alarm system for work zone vehicles
A Mizzou Engineering team has developed an innovative alert system that tells drivers when they’re in danger of colliding with a mobile work zone vehicle.
Mizzou Engineers recognized at Transportation Research Board meeting
Several faculty from Mizzou’s civil and environment engineering department were recognized and presented at the Transportation Research Board (TRB)’s 102nd Annual Meeting in Washington, D.C. last week.
Civil engineering team at Mizzou completes NSF I-Corps, earning Spirit Award
A team of Mizzou Engineers recently completed the National Science Foundation I-Corps program, earning a Spirit Award and gaining important insights as the researchers launch a new company. Civil engineering faculty members Bill Buttlar and Yaw Adu-Gyamfi, along with post-doctoral fellow Hamed Majidifard, formed Tiger Eye Engineering, LLC, last…
Buttlar gives keynote at International Data Science for Pavements Symposium
A civil engineering professor gave the keynote address around using big data to inform transportation decisions.
Civil engineers use artificial intelligence to classify pavement cracks
Traffic engineers could have a smarter way of identifying asphalt problems and prioritizing pavement projects, thanks to research from Mizzou Engineering.
Computer Science Students Create RIDSI Website to Help Track Traffic
State officials and emergency workers in Missouri will have an easier way to view traffic data in the future, thanks to a Mizzou Engineering collaboration. For their senior capstone project, computer science students created a website and mobile app that provide a central source for real-time and historical transportation information.
NSF CAREER grant to help bridge technology and transportation
Yaw Adu-Gyamfi, assistant professor in civil and environmental engineering (CEE), recently received a National Science Foundation (NSF) Faculty Early Career Development (CAREER) grant. This award is to further his current work with his DASH platform plus additional proposals with deep learning and adaptive computing to design management solutions for transportation systems.