Title | ||
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Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform |
Abstract | ||
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This paper proposes a Green Light Optimized Speed Advisory (GLOSA) application implementation in a typical reference area, and presents the results of its performance analysis using an integrated cooperative ITS simulation platform. Our interest was to monitor the impacts of GLOSA on fuel and traffic efficiency by introducing metrics for average fuel consumption and average stop time behind a traffic light, respectively. For gathering the results we implemented a traffic scenario defining a single route through an urban area including two traffic lights. The simulations are varied for different penetration rates of GLOSA-equipped vehicles and traffic density. Our results indicate that GLOSA systems could improve fuel consumption and reduce traffic congestion in junctions. |
Year | DOI | Venue |
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2011 | 10.1109/IWCMC.2011.5982524 | IWCMC |
Keywords | Field | DocType |
traffic light,traffic congestion,road vehicles,vehicular communications,traffic route,integrated cooperative its simulation,traffic density,traffic engineering computing,traffic light advisory,fuel,fuel consumption,glosa-equipped vehicle,urban area,glosa application,green light optimized speed advisory,traffic scenario,traffic efficiency,automated highways,road traffic,intelligent transportation system,glosa system,stopping time,indexing terms,acceleration,measurement,data models | Automotive engineering,Data modeling,Traffic signal,Simulation,Computer science,Green-light,Traffic efficiency,Acceleration,Intelligent transportation system,Fuel efficiency,Traffic congestion,Distributed computing | Conference |
ISSN | ISBN | Citations |
2376-6492 | 978-1-4244-9539-9 | 35 |
PageRank | References | Authors |
2.91 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Konstantinos Katsaros | 1 | 263 | 26.42 |
Ralf Kernchen | 2 | 225 | 17.66 |
mehrdad dianati | 3 | 850 | 70.67 |
David Rieck | 4 | 64 | 5.60 |