@article{MTMT:31128447,
	title = {Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles},
	url = {https://m2.mtmt.hu/api/publication/31128447},
	author = {Péter, Tamás and Szauter, Ferenc and Rózsás , Zoltán and Lakatos, István},
	doi = {10.1504/IJHVS.2020.104422},
	journal-iso = {INT J HEAVY VEH SYST},
	journal = {INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS},
	volume = {27},
	unique-id = {31128447},
	issn = {1744-232X},
	year = {2020},
	eissn = {1741-5152},
	pages = {227-245},
	orcid-numbers = {Lakatos, István/0000-0002-3855-7379}
}

@article{MTMT:30448627,
	title = {INTEGRATED INFORMATION SERVICE FOR PLUG-IN ELECTRIC VEHICLE USERS INCLUDING SMART GRID FUNCTIONS},
	url = {https://m2.mtmt.hu/api/publication/30448627},
	author = {Csonka, Bálint and Csiszár, Csaba},
	doi = {10.3846/transport.2019.8548},
	journal-iso = {TRANSPORT-VILNIUS},
	journal = {TRANSPORT (VILNIUS)},
	volume = {34},
	unique-id = {30448627},
	issn = {1648-4142},
	abstract = {Information provision can mitigate the drawbacks of electric vehicle use. In this paper, we elaborate an integrated
		Information Service (IS) for Plug-in Electric Vehicle (PEV) users that cover each process of use. The system elements and
		their relations are modelled. We deduce the functions from the negatives of electric vehicles compared to conventional
		ones. The information management processes are elaborated in detail. We focus on the charging and recharging periods
		considering dynamic electricity rates in the Smart Grid in order to minimalize the cost of charging from the user’s perspective.
		We elaborate a cost saving method and evaluate the effects of dynamic tariff and forethoughtful behaviour. Since
		our proposed information, service covers each phase of use and reduces charging costs the presented solution simplifies
		electric vehicle use and improves efficiency. Furthermore, we elaborate the automatic charging scheduling methods that
		significantly reduce the charging cost and the fluctuation of the electricity demand.},
	keywords = {Sensitivity analysis; Smart grid; information service; charging scheduling method; plug-in electric vehicle},
	year = {2019},
	eissn = {1648-3480},
	pages = {135-145},
	orcid-numbers = {Csonka, Bálint/0000-0002-4976-8294; Csiszár, Csaba/0000-0002-4677-3733}
}

@article{MTMT:2931117,
	title = {Route Plan Evaluation Method for Personalized Passenger Information Service},
	url = {https://m2.mtmt.hu/api/publication/2931117},
	author = {Földes, Dávid and Csiszár, Csaba},
	doi = {10.3846/16484142.2015.1086889},
	journal-iso = {TRANSPORT-VILNIUS},
	journal = {TRANSPORT (VILNIUS)},
	volume = {30},
	unique-id = {2931117},
	issn = {1648-4142},
	year = {2015},
	eissn = {1648-3480},
	pages = {273-285},
	orcid-numbers = {Földes, Dávid/0000-0003-4352-8166; Csiszár, Csaba/0000-0002-4677-3733}
}