Artificial intelligence (AI) is rapidly transforming many industries, and the transportation sector is no exception. AI-based decision support systems (DSS) have the potential to revolutionize the way state departments of transportation (DOTs) manage their transportation networks.

AI-based DSS can be used to collect, analyze, and interpret large amounts of data from a variety of sources, such as traffic cameras, sensors, and social media. This information can be used to generate insights and recommendations that can help DOTs make better decisions about everything from traffic management to infrastructure planning.

As transportation systems become more complex and demanding, DOTs need tools that can help them to make better decisions more quickly and efficiently. The objective of this research is to develop guidelines for AI-based DSS solutions for DOTs.