Poster Abstract: Implementing Dynamic User Equilibrium in a Scaled City Environment with Duckietown and SUMO

Effective traffic routing is an important part of a city’s architecture, with numerous simulation based representations being developed throughout the years. An important part of simulation based solutions is the practicality of these solutions in a real environment. To this end, we propose a scheme to bring a theoretical approach known as Dynamic User Equilibrium (DUE) from the simulator to a scaled city with wirelessly connected miniature autonomous vehicles. We describe how we translate a DUE solution from traffic simulator Simulation of Urban Mobility (SUMO) to physical Duckietown Robots. Our goal is to develop a predictable DUE solution for Duckietown Robots using SUMO as not only a development environment but guiding tool.