Performance study of a Green Light Optimized Speed Advisory ( GLOSA ) Application Using an Integrated Cooperative ITS Simulation Platform

Performance study of a Green Light Optimized Speed Advisory ( GLOSA ) Application Using an Integrated Cooperative ITS Simulation Platform. Katsaros, K., Kernchen, R., Dianati, M., & Rieck, D. In International Wireless Communications and Mobile Computing Conference (IWCMC), pages 918–923, 2011.
doi abstract bibtex

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.

@inproceedings{Katsaros2011a,
	author = {Katsaros, Konstantinos and Kernchen, Ralf and Dianati, Mehrdad and Rieck, David},
	booktitle = {International Wireless Communications and Mobile Computing Conference (IWCMC)},
	title = {{Performance study of a Green Light Optimized Speed Advisory ( GLOSA ) Application Using an Integrated Cooperative ITS Simulation Platform}},
	year = {2011},
	pages = {918--923},
	abstract = {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.},
	doi = {10.1109/IWCMC.2011.5982524},
	file = {:http\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_GLOSA_IWCMC_11.pdf:URL},
	groups = {used, GLOSA, VSimRTI, JiST/SWANS, FOKUS, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},
	keywords = {GLOSA,fuel consumption,traffic congestion,traffic light advisory,vehicular communications},
	mendeley-tags = {GLOSA},
	owner = {dkrajzew},
	timestamp = {2012.01.25}
}

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