Yaw-Adu-Gyamfi

buttlarf

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.

images of road cracks.

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.

The five members of the RIDSI team

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.

Portrait: Yaw Adu-Gyamfi

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.

CEE doctoral student Maged Shoman

CEE Doctoral Student Wins TEAMStL Research Poster Competition

Maged Shoman, a doctoral student in Civil and Environmental Engineering, won the research poster competition at the 2020 TEAMStL Transportation Virtual Fair.

Proposed Architecture for DASH

Using Big Data to Improve Traffic Flow

The digital sign flashes “Accident Ahead – Proceed With Caution” as drivers head along Interstate 70 in the St. Louis region. That usually means long delays for drivers as traffic builds up behind the accident. This also means a potentially serious accident that requires an immediate response from emergency personnel.