When multiple autonomous vehicles operate near one another, contemporaneous motions and actions of these vehicles must be organized to encourage an efficient and collision-free operational environment. This talk presents an operational model based on machine negotiation that explicitly considers the critical interplay between machine trust and priority. Collective maneuver planning is represented as a multi-machine transaction that can be used to both optimize system efficiency and finance roadway operations.
Karl Wunderlich, Ph.D., is the Director of the Surface Transportation Division at Noblis in Washington, DC. He is a key contributor to both research and development projects and technology deployment programs sponsored by the US Department of Transportation (USDOT) Intelligent Transportation Systems (ITS) Joint Program Office and the Federal Highway Administration (FHWA). Dr. Wunderlich is an expert in the use of simulation techniques to evaluate the potential impact of emerging technologies to improve traveler mobility or system productivity – including vehicle connectivity, autonomy, and blockchain. Dr. Wunderlich holds a Ph.D. in Operations Research from the University of Michigan.
Noblis is a nonprofit science, technology, and strategy organization that brings the best of scientific thought, management, and engineering expertise in an environment of independence and objectivity. We work with a wide range of government and industry clients in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and citizen services.