Analysis of the impacts of information-based routing on city congestion and optimal remediations

Abstract: 

The goal of this project is to co-develop joint methods in the field of control/optimization and systems verification in the context of large-scale networks. The project will apply the results to a specific problem in transportation engineering: the impact of traffic information on large scale mobility patterns in urban environments. Specifically, it will analyze the recent impacts of routing apps such as Waze, Google maps, Apple traffic etc. on residential street congestion. Finally it will apply the findings to two cities, one in the US, Fremont, CA (in a joint partnership with UC Berkeley), and Neuilly sur Seine in France (through a Ministère de la Transition écologique et Solidaire connection via Ecole Polytechnique).

Alexandre Bayen

UC PI:
Alexandre Bayen
Electrical Engineering and Computer Sciences / Institute of Transportation Studies, UC Berkeley

Eric Goubault

France PI:
Eric Goubault
Département d'informatique, École Polytechnique

Author: 
Alexandre Bayen
Eric Goubault
Publication date: 
July 1, 2020
Publication type: 
Funded Project