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Session B2: Human-Machine Symbiosis

Dr. Benjamin Seibold, Temple University: Benefits and Risks of Semi-automated Heterogeneous Traffic Flow

Location: Hibiscus B
Date/Time: Tuesday, Sep. 17, 9:30 a.m.

Automation and connectivity will fundamentally change how traffic flows on our roadways. Particularly critical scenarios will be encountered in the near future, when highly heterogeneous flows arise, composed of mostly human-driven vehicles, with a few automated, or semi-automated, vehicles intermixed. We demonstrate via experiments that it takes only a few automated vehicles, properly interacting with human agents on the road, to have a substantial impact on traffic flow characteristics such as fuel consumption, emissions, and accident risk. Based on these results, we outline mathematical models and simulations that capture the observed phenomena and thus can serve as building blocks to understand the ramifications of human-machine interactions in future semi-automated traffic flow.

Dr. Benjamin Seibold is an Associate Professor in the Department of Mathematics at Temple University (Philadelphia), and the Director of the Center of Computational Mathematics and Modeling. He received his PhD from the University of Kaiserslautern, and was an Instructor at MIT. He works in applied and computational mathematics with specific applications in traffic flow, fluid dynamics, radiation transport, and life science applications. His traffic flow research focuses on the understanding of non-equilibrium phenomena (such as stop-and-go waves), particularly in mixed human-automated traffic flow, via modeling, simulation, and experiments.

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