Abstract
In this paper, focusing on a designated route of public transport in Debrecen, we examine the possibilities of creating a driving cycle representative for the route. The background of the work is, that in the framework of a larger-scale research project we examine the possibility of how to reduce the bus’s emissions by modifying the drive chain of the current diesel vehicle. A dynamic model suitable for performing the calculations was developed, in which the movement of the vehicle in traffic is described by the driving cycle. The data provided by the data acquisition equipment of the bus on the designated route is available for the creation of the special driving cycle. In this paper, we look for the answer to the question: how the difference in data density affects the driving cycle and how it modifies the parameters describing its representativeness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nemes, D., Pálfi, T., Hajdu, S.: Vehicle dynamic simulation possibilities using AVL Cruise M. Int. J. Eng. Manag. Sci. (IJEMS) 5 (2020). https://doi.org/10.21791/IJEMS.2020.2.35
Dai, Z., Niemeier, D., Eisinger, D.: Driving cycles: a new cycle-building method that better represents real-world emissions (2008). https://www.academia.edu/26820568
Silvas, E.: Integrated optimal design for hybrid electric vehicles. Doctor of Philosophy, Department of Mechanical Engineering, Eindhoven (2015). https://research.tue.nl/files/8809090/20151130_Silvas.pdf
Delgado-Neira, O.F.: Driving cycle properties and their influence on fuel consumption and emissions. Graduate Theses, Dissertations, and Problem Reports, 3568 (2012). https://researchrepository.wvu.edu/etd/3568
Lin, J., Niemeier, D.: An exploratory analysis comparing a stochastic driving cycle to California’s regulatory cycle. Atmos. Environ. 36, 5759–5770 (2002). https://doi.org/10.1016/S1352-2310(02)00695-7
Li, Y., Peng, J., He, H., Xie, S.: The study on multi-scale prediction of future driving cycle based on Markov chain. Energy Procedia 105, 3219–3224 (2017). https://doi.org/10.1016/j.egypro.2017.03.709
Vámosi, A., Czégé, L., Kocsis, I.: Development of bus driving cycle for Debrecen on the basis of real-traffic data. Periodica Polytechnica Transp. Eng. 50(2), 184–190 (2022). https://doi.org/10.3311/PPtr.16109
Ficzere, P., Borbás, L.: Járműtrajektóriák definiálásához szükséges határértékek meghatározása klasszikus módszerekkel. Acta Periodica (EDUTUS) 23, 37–45 (2021). 9 p.
Lakatos, I., Szauter, F., Pup, D.: Alternatív hajtású autóbuszok nagyvárosi közösségi közlekedésben, Műszaki Szemle 74/2019 (2019)
Acknowledgement
The research was financed by the Thematic Excellence Programme of the Ministry for Innovation and Technology in Hungary (TKP2020-NKA-04), within the framework of the (Automotive Industry) thematic programme of the University of Debrecen.
The authors are thankful to AVL List GmbH for providing licenses to AVL CRUISE under AST-University Partnership Program with University of Debrecen, Debrecen, Hungary.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Vámosi, A., Nemes, D., Czégé, L., Kocsis, I. (2023). Investigation the Effect of the Data Frequency on the Driving Cycle of an Urban Bus Route. In: Jármai, K., Cservenák, Á. (eds) Vehicle and Automotive Engineering 4. VAE 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-15211-5_35
Download citation
DOI: https://doi.org/10.1007/978-3-031-15211-5_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-15210-8
Online ISBN: 978-3-031-15211-5
eBook Packages: EngineeringEngineering (R0)