Paper Info
Title
Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel Case
Abstract
In this article we propose the Yellow Swarm architecture for reducing travel times, greenhouse gas emissions and fuel consumption of road traffic by using several LED panels to suggest changes in the direction of vehicles (detours) for different time slots. These time intervals are calculated using an evolutionary algorithm, specifically designed for our proposal, which evaluates many working scenarios based on real cities, imported from OpenStreetMap into the SUMO traffic simulator. Our results show an improvement in average travel times, emissions, and fuel consumption even when only a small percentage of drivers follow the indications provided by our panels.
Year
DOI
Venue
2015
10.1145/2739480.2754742
Genetic and Evolutionary Computation Conference
Keywords
Field
DocType
Application, evolutionary algorithm, road traffic, smart city, smart mobility, LED Panels
Mathematical optimization,Architecture,Evolutionary algorithm,Swarm behaviour,Simulation,Computer science,Traffic simulator,Road traffic,Real-time computing,Smart city,Fuel efficiency,Greenhouse gas
Conference
Citations 
PageRank 
References 
3
0.59
6
Authors
2
Name
Order
Citations
PageRank
Daniel H. Stolfi1247.24
Enrique Alba23796242.34