Artificial intelligence (AI) broadly encapsulates technologies for human-like reasoning, knowledge representation, pattern matching, planning, learning, perception, natural language processing, and moving and manipulating objects. Machine learning applications offer the potential to support human work in a variety of areas of transportation system management and operations (TSMO), including traffic imagery analysis, incident detection, traffic control, traffic management center (TMC) function automation, data analysis, driverless vehicles, and airborne drones.
This webinar summarizes a report by the Federal Highway Administration (FHWA) to raise awareness of the potential for applications of AI in TSMO. The presentation contains a brief history of AI, a summary of key technologies, a summary of major current platforms for AI system development, and key tips for getting started.
A presentation by the Delaware Department of Transportation (DelDOT) supplements the report with active examples of AI applications for TSMO. FHWA and USDOT will also present their current research and planned activities related to AI for transportation applications.