first published week of: 01/23/2023
Hexagon Helps Chattanooga Improve Road Safety
by Hexagon Press Release
Hexagon’s Safety, Infrastructure & Geospatial division announced the University of Tennessee at Chattanooga (UTC) has selected HxGN Connect, Hexagon’s real-time incident center as a service, to support a research project for better understanding, predicting and responding to traffic accidents within Chattanooga, Tennessee
Using a machine learning-based model, multisensory data and HxGN Connect, researchers and government organizations can analyze and visualize past accidents and patterns, predict future roadway crashes and coordinate resources to mitigate impacts.
UTC’s Center for Urban Informatics and Progress (CUIP) is leading the project with the goal to study traffic incidents to see when and where they are happening and identify related variables. Based on this information, CUIP has developed a predictive model that provides a 24-hour forecast that can be used to inform resource planning and deployment. HxGN Connect serves as a conduit for data sharing and collaboration among the involved organizations across the city – from emergency services to the department of transportation – enabling each entity to access the model, see the results and plan ahead.
“Our ultimate goal is reducing response times to traffic incidents and creating safer roadways,” said Austin Harris, who manages the Smart City and Connected Vehicle testbed for CUIP. “HxGN Connect allows us to provide that data in a way where multiple entities can collaborate in real-time, with full situational awareness. It has allowed us to really focus on the research, which we know will have a meaningful impact on the people of Chattanooga and Hamilton County.”
Read full story at Hexagon…