Reference : Experimental analysis of eGLOSA and eGLODTA transit control strategies

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/33448

Title :	Experimental analysis of eGLOSA and eGLODTA transit control strategies
Language :	English
Author, co-author :	Giorgione, Giulio [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
	Rinaldi, Marco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
	Laskaris, Georgios [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
	Seredynski, Marcin [E-Bus Competence Center, Livange, Luxembourg]
Publication date :	2017
Main document title :	Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Peer reviewed :	Yes
Event name :	5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Event date :	26 June 2017 through 28 June 2017
Event place (city) :	Naples
Event country :	Italy
Keywords :	[en] Electric Buses ; Energy Management ; Public transport
Abstract :	[en] Battery powered electric buses have higher energy efficiency, lower emissions and noise when compared to buses with internal combustion engines. However, due to battery charging requirements, their large-scale integration into public transport operations is more complex. This study proposes a novel concept supporting said integration via new control strategies, dubbed e-GLOSA and e-GLODTA. These strategies extend the existing Green Light Optimal Speed and Dwell Time Systems (GLOSA/GLODTA) to account for the specific needs of electric buses. That is, they include the goals of minimizing the energy consumption between charging stations, and maximizing available charging time. At the same time, interference with schedule requirements is minimized. The formulated heuristics are tested on a Bus Rapid Transit (BRT) corridor case study, where different scenarios—such as placement of charging stations and bus regularity—are studied to assess under which conditions each action (maintain speed, accelerate or dwell for a longer time at a stop) is beneficial. Results show that eGLOSA contributes to schedule adherence while eGLODTA allows satisfying charging time constraints.
Permalink :	http://hdl.handle.net/10993/33448
DOI :	10.1109/MTITS.2017.8005659
FnR project :	FnR ; FNR11349329 > Francesco Viti > eCoBus > Electrified Cooperative Bus System > 01/01/2017 > 31/12/2019 > 2016

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