Paper Info
Title
Potentials and limitations of Green Light Optimal Speed Advisory systems
Abstract
The reduction of CO2 emissions is one of the most anticipated features of future transportation systems. Smart traffic lights are believed to contribute to achieving this by either adapting their signal program or by informing approaching drivers. In this paper we investigate the potentials and limitations of the latter, that is, Green Light Optimal Speed Advisory (GLOSA) systems in a realistic, large scale simulation study. We examine the impact of different equipment rates of both traffic lights and vehicles on environmental related metrics but also study how these systems can increase the comfort for drivers by reducing waiting times and the number of stops. We find that at low traffic densities these systems can meet all their goals and lower CO2 emissions by up to 11.5% whereas in dense traffic several side-effects could be observed, including overall longer waiting times and even higher CO2 emissions for unequipped vehicles.
Year
DOI
Venue
2013
10.1109/VNC.2013.6737596
Vehicular Networking Conference
Keywords
Field
DocType
carbon compounds,intelligent transportation systems,road traffic,CO2,CO2 emissions,GLOSA,environmental related metrics,green light optimal speed advisory systems,smart traffic lights,traffic density
Automotive engineering,Simulation,Computer science,Road traffic,Computer network,Green-light,Intelligent transportation system
Conference
ISSN
Citations 
PageRank 
2157-9857
17
1.53
References 
Authors
10
3
Name
Order
Citations
PageRank
David Eckhoff118920.07
Bastian Halmos2171.53
Reinhard German3885125.27