Narzędzia help

Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
first previous next last
cannonical link button

http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-375906fb-a2d5-4a29-983d-7f178499f735

Czasopismo

Zeszyty Naukowe. Transport / Politechnika Śląska

Tytuł artykułu

Multi-criteria analysis and expert assessment of vehicles with different drive types regarding their functionality and environmental impact

Autorzy Sendek-Matysiak, E. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN It is not easy to choose a car depending on the type of engine used in it. This is due to the diversity of properties characterising certain types of cars and doubts concerning the costs incurred during their operation (especially for new types as electric cars). Thus, this article presents a comparative analysis of cars provided with different energy sources. The analysis will allow finding the answer, which of the analysed car types best meet expectations, since both electric motor-driven vehicles and combustion engine-driven vehicles have a number of disadvantages and advantages. All compared vehicles are of the same model of a single make, with different drive sources and drive systems, classified in the same market segment. Therefore, the purpose of the article is to demonstrate, which vehicle type (that is, a car with spark-ignition engine, compression-ignition engine, electric motor, or Plug-In type hybrid drive) is currently the most optimal regarding technology, economy, and environment. For this purpose, the MAJA multi-criteria assessment method which has never before been used in comparisons of this sort was chosen.
Słowa kluczowe
PL kryterium   metoda wielokryterialna   MAJA   samochód elektryczny   dobór pojazdów  
EN criterion   multi-criteria method   MAJA   electric car   vehicles selection  
Wydawca Wydawnictwo Politechniki Śląskiej
Czasopismo Zeszyty Naukowe. Transport / Politechnika Śląska
Rocznik 2019
Tom z. 102
Strony 185--195
Opis fizyczny Bibliogr. 22 poz.
Twórcy
autor Sendek-Matysiak, E.
  • Department of Mechatronics and Machine Construction, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland, esendek@tu.kielce.pl
Bibliografia
1. Bradley S., A. Hax, T. Magnanti. 1977. Applied Mathematical Programming. Addison -Wesley Publishing: San Francisco.
2. Ehrgott M. 2005. Multicriteria Optimisation. Springer: New York.
3. Figueira J., S. Grecvo, M. Ehrgott (Eds.). 2005. Multiple Criteria Analysis. State of the Art Surveys. International Series in Operations Research and Management Science. Springer Science: Boston.
4. Jacyna M., M. Wasiak. 2015. „Multicriteria decision support in designing transport systems”. 15th International Conference on Transport Systems Telematics (TST). Wroclaw University of Technology, Wroclaw, Poland. April 15-17, 2015. Tools of Transport Telematics. Communications in Computer and Information Science 531: 11-23.
5. Jacyna M., M. Wasiak, M. Klodawski, P. Golebiowski. 2017. “Modelling of bicycle traffic in the cities using VISUM”. 10th International Scientific Conference on Transportation Science and Technology (TRANSBALTICA). Vilnius, Lithuania. May 04-05, 2017. Transportation Science And Technology. Procedia Engineering 187: 435-441.
6. Jacyna M., P. Golebiowski, E. Szczepanski. 2015. „City transport service model taking into account different means of transport”. 9th International Scientific Conference on Transport Means. Kaunas University of Technology, Kaunas, Lithuania, October 22-23, 2015. Transport Means - Proceedings of the International Conference. 2015. P. 160-168.
7. Roy B. 2005. “Paradigms and Challenges”. In: Figueira J., S. Greco, M, Ehrgott (Eds.). Multiple Criteria Decision Analysis: State of the Art Surveys. Springer: Boston.
8. Roy B. 1990. “The outranking approach and the foundations of ELECTRE methods”. In: C. e Bana (Eds.). Readings in Multiple Criteria Decision Aid. Berlin: Springer.
9. Sendek-Matysiak E. 2018. “Analysis of the electromobility performance in Poland and proposed incentives for its development”. In: XI International Science-Technical Conference Automotive Safety. 18-20 April 2018. Available at: https://ieeexplore.ieee.org/document/8373338.
10. Żak J. 2014. ” The metodology of muliple criteria decision aiding in transportation and logistics”. Logistyka 3: 7141-7155.
11. Żak J. 2005. The Multi-Criteria Decision Support in Road Transport. Publishing House of Poznan University of Technology: Poznan.
12. VW GOLF MK7. Available at: https://www.vwgolf.pl/dane-techniczne/vw-golf-mk7/.
13. Polish Organization of Oil Industry and Trade. Available at: http://www.popihn.pl/.
14. „Overview of NGC Rating”. Available at: https://www.nextgreencar.com/emissions/ngc-rating/.
15. The Car Interior Noise Level Comparison site. Available at: http://www.auto-decibel-db.com/index_kmh.html.
16. Chargemap. Available at: https://chargemap.com/about/stats/poland.
17. AUTOCENTRUM. An independent automotive portal. Available at: https://www.autocentrum.pl/dane-techniczne/volkswagen/golf/vii/e-golf-facelifting/silnik-elektryczny-electro-136km-od-2017/.
18. Jacyna M., J. Merkisz. “Proecological approach to modelling traffic organization in national transport system”. Archives of Transport 2(30): 43-56.
19. Mickevicius T., S. Slavinskas, S. Wierzbicki, K. Duda. 2014. „The effect of diesel-biodiesel blends on the performance and exhaust emissions of a direct injection off-road diesel engine”. Transport 29(4): 440-448.
20. Haell Carl H., Jan T. Lundgren, Stefan Voss. 2015. „Evaluating the performance of a dial-a-ride service using simulation”. Public Transport 7(2): 139-157.
21. Sobota A., R. Zochowska, E. Szczepanski, P. Golda. 2018. “The influence of tram tracks on car vehicle speed and noise emission at four-approach intersections located on multilane arteries in cities”. Journal of Vibroengineering 20(6): 2453-2468.
22. Mazurkiewicz D. 2014. „Computer-aided maintenance and reliability management systems for conveyor belts”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 16(3): 377-382.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-375906fb-a2d5-4a29-983d-7f178499f735
Identyfikatory
DOI 10.20858/sjsutst.2019.102.15