This page provides links to simulations, videos and code created by the team that help demonstrate relevant research findings.
Deep reinforcement learning applied to two-region perimeter control:
Reinforcement learning approach to traffic signal control:
Hysteresis in Macroscopic Fundamental Diagrams:
See how hysteresis patterns change depending on how network productivity is measured
Impacts of locally adaptive traffic signals on network behavior:
See how adaptive traffic signals can help a network maintain balance
Instability of congested traffic networks:
See how turning maneuvers cause traffic networks to become unbalanced