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Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology
Energies, 15 (2022), 11; 4108-4129. https://doi.org/10.3390/en15114108
Dabčević, Zvonimir; Škugor, Branimir; Topić, Jakov; Deur, Joško

Institucijski repozitorij: Repozitorij Fakulteta strojarstva i brodogradnje Sveučilišta u Zagrebu

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Dabčević, Z., Škugor, B., Topić, J. i Deur, J. (2022). Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology. Energies, 15. (11), 4108-4129. doi: 10.3390/en15114108

Dabčević, Zvonimir, et al. "Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology." Energies, vol. 15, br. 11, 2022, str. 4108-4129. https://doi.org/10.3390/en15114108

Dabčević, Zvonimir, Branimir Škugor, Jakov Topić i Joško Deur. "Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology." Energies 15, br. 11 (2022): 4108-4129. https://doi.org/10.3390/en15114108

Dabčević, Z., et al. (2022) 'Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology', Energies, 15(11), str. 4108-4129. doi: 10.3390/en15114108

Dabčević Z, Škugor B, Topić J, Deur J. Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology. Energies [Internet]. 02.06.2022. [pristupljeno 04.11.2024.];15(11):4108-4129. doi: 10.3390/en15114108

Z. Dabčević, B. Škugor, J. Topić i J. Deur, "Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology", Energies, vol. 15, br. 11, str. 4108-4129, Lipanj 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:235:321736. [Citirano: 04.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:235:321736
Podaci o radu
Naslov (engleski)Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology
AutorZvonimir Dabčević
AutorBranimir Škugor
AutorJakov Topić
AutorJoško Deur
Autorova ustanovaSveučilište u Zagrebu
Fakultet strojarstva i brodogradnje
(Zavod za robotiku i automatizaciju proizvodnih sustava)
(Katedra za strojarsku automatiku)
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Strojarstvo
Sažetak (engleski)
The authors of this paper propose a Markov-chain-based method for the synthesis of naturalistic, high-sampling-rate driving cycles based on the route segment statistics extracted from low-sampling-rate vehicle-tracking data. In the considered case of a city bus transport system, the route segments correspond to sections between two consecutive bus stations. The route segment statistics include segment lengths and maps of average velocity, station stop time, and station-stopping probability, all given along the day on an hourly basis. In the process of driving cycle synthesis, the transition probability matrix is built up based on the high-sampling-rate driving cycles purposely recorded in a separate reference city. The particular emphasis of the synthesis process is on satisfying the route segment velocity and acceleration boundary conditions, which may be equal to or greater than zero depending on whether a bus stops or passes a station. This enables concatenating the synthesized consecutive micro-cycles into the full-trip driving cycle. The synthesis method was validated through an extensive statistical analysis of generated driving cycles, including computational efficiency aspects.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaEnergies
Brojčani podacivol. 15, br. 11, str. 4108-4129
p-ISSN1996-1073
DOIhttps://doi.org/10.3390/en15114108
URN:NBNurn:nbn:hr:235:321736
Datum objave publikacije2022-06-02
URL dokumentahttps://www.mdpi.com/1996-1073/15/11/4108
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-07-05 11:16:22