43 citations · 128 across the 28 of their papers we have counts for
6 papers · 1 filter
Macroscopic Modeling, Calibration, and Simulation of Managed Lane-Freeway Networks, Part II: Network-scale Calibration and Case Studies
Matthew A. Wright, Roberto Horowitz, Alex A. Kurzhanskiy
In Part I of this paper series, several macroscopic traffic model elements for mathematically describing freeway networks equipped with managed lane facilities were proposed. These…
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Matthew A. Wright, Roberto Horowitz
Many potential applications of reinforcement learning in the real world involve interacting with other agents whose numbers vary over time. We propose new neural policy architectur…
An Extended Game-Theoretic Model for Aggregate Lane Choice Behavior of Vehicles at Traffic Diverges with a Bifurcating Lane
Ruolin Li, Negar Mehr, Roberto Horowitz
Road network junctions, such as merges and diverges, often act as bottlenecks that initiate and exacerbate congestion. More complex junction configurations lead to more complex dri…
Pricing Traffic Networks with Mixed Vehicle Autonomy
Negar Mehr, Roberto Horowitz
In a traffic network, vehicles normally select their routes selfishly. Consequently, traffic networks normally operate at an equilibrium characterized by Wardrop conditions. Howeve…
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
Matthew A. Wright, Simon F. G. Ehlers, Roberto Horowitz
Deep neural networks can be powerful tools, but require careful application-specific design to ensure that the most informative relationships in the data are learnable. In this pap…
How Will the Presence of Autonomous Vehicles Affect the Equilibrium State of Traffic Networks?
Negar Mehr, Roberto Horowitz
It is known that connected and autonomous vehicles are capable of maintaining shorter headways and distances when they form platoons of vehicles. Thus, such technologies can result…