Predictive modeling for safer roadways in Tennessee

The challenge

CUIP researchers studied traffic incidents based on data collected from the Smart Corridor in downtown Chattanooga to see when and where they were happening and to identify related variables. The transportation testbed is located along M.L. King Boulevard and is equipped with smart technology, like cameras, sensors and detectors, to study transportation trends. With this data, the CUIP can better understand when, where and why incidents occur and how to prevent them in the future.

Based on the data collected from the Smart Corridor, CUIP researchers developed a predictive model that provides a 24-hour forecast to support resource allocation 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.

The solution

CUIP researchers studied traffic incidents based on data collected from the Smart Corridor in downtown Chattanooga to see when and where they were happening and to identify related variables. The transportation testbed is located along M.L. King Boulevard and is equipped with smart technology, like cameras, sensors and detectors, to study transportation trends. With this data, the CUIP can better understand when, where and why incidents occur and how to prevent them in the future.

Based on the data collected from the Smart Corridor, CUIP researchers developed a predictive model that provides a 24-hour forecast to support resource allocation 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.