A safety effect of the I-24 smart corridor strategies in Tennessee.

Since 2018, Tennessee Department of Transportation (TDOT) has been deploying the I-24 Smart Corridor project by implementing a host of innovative strategies such as dynamic lane use control, and variable speed limits. In this study, we aim to evaluate the impact of the implemented countermeasures, with a particular emphasis on safety conditions. We will use data from the Radar Detection System and crash data from ETRIMS for analysis purposes. To isolate the influences of concurrently applied SMART strategies and mitigate the impact of variables such as population growth, COVID-related factors, weather conditions, special events, and more, we will employ Bayesian analysis techniques. By leveraging insights derived from the I-24 corridor's unique characteristics, evaluating the cost-effectiveness of various strategies, and conducting Measure of Effectiveness (MOE) analyses for alternative corridors, we can construct a prioritized list of key corridors. This list will serve as the foundation for recommendations regarding strategy deployment. The overarching objective of this research is to propose suitable corridors for the implementation of SMART technologies, based on the study's findings. Our primary focus is on enhancing transportation safety and optimizing infrastructure, with the goal of improving the quality of life for both current and future city residents, while ensuring that the city's transportation network can effectively meet the demands of a growing population.