We build Lagrangian continuum models that utilize vehicle trajectory data obtained via V2X connectivity. These models are able to capture three important features of traffic flow: (i) the propagation of congestions in time, (ii) the propagation of congestions in space, (iii) the string instability/stability, that is, the amplification/decay of traffic waves while having only three tunable parameters. These models also enable us to study the large-scale impact of connected automated vehicles on traffic flow control.

Gabor Orosz is an Associate Professor for the Mechanical Engineering Department at the University of Michigan. Gabor's research interests include Nonlinear dynamics and control, time-delay systems, networks and complex systems, dynamics and control of connected vehicles, ground robots and autonomous vehicles, neural networks, gene-regulatory networks.