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The motor vehicle operation process results in a growth in the vehicle mileage and the rate of this growth is usually characterized by specifying the value of this mileage (in km) calculated per a time unit (month, year, etc.). In this paper, the relation between the specific mileage (km per a time unit) of a motor truck and the engine capacity category has been analysed. Results of calculations based on the observation of the mileage of over 3 600 motor trucks of more than 3 500 kg gross vehicle mass (GVM) have been presented. In the analysis, intervals of equal width were adopted in which the mileage values (in km) were grouped. The percentage of the vehicles whose monthly mileage values belonged to the ith interval was calculated. The resulting set of k discrete values of the percentage of the vehicles with predefined mileage was approximated by a polynomial. The approximation functions are polynomials of the fifth or sixth degree. The curves representing such functions very well describe the distribution of values of the mileage of motor vehicles with engines of over 10000 cm3 capacity. A characteristic feature of the calculated distributions of vehicle mileage values is the fact that the location of the areas of predominating mileage values strongly depend on the engine capacity. The highest values of the monthly mileage of motor trucks with engines of up to 5 000 cm3 capacity do not exceed 9 500 km and increase to 12 500 km for trucks with engines whose capacity exceeds 12 000 cm3. Based on the profiles of the approximation functions, it has been found that the mileage values corresponding to the first mode of these functions decline with increasing engine capacity values. Simultaneously, a decrease can be observed in the percentage of the vehicles with short mileage with a growth in the engine capacity values. Conversely, the motor truck mileage values corresponding to the second mode of the approximation functions markedly increase with growing engine capacity values. An increase can also be seen in the percentage of the trucks with long mileage in the group of vehicles with engines of over 10000 cm3 capacity.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
403--412
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
- Military University of Technology, Faculty of Mechanical Engineering Gen. S. Kaliskiego Street 2, 00-908 Warsaw, Poland Automotive Industry Institute in Warsaw (PIMOT) tel.: +48 261837866, fax: +48 261839230
Bibliografia
- [1] External costs of transport – Update study, Final Report, INFRAS, Zurich/Karlsruhe 2004.
- [2] Filipczyk, J., Faults of Duty Vehicles in the Aspects of Securing Safety, Transport Problems, Vol. 6, Issue 1, Poland 2011.
- [3] Hammarström, U., Yahya, M.-R., An analysis of the Swedish HGV fleet with driving resistance in focus – vehicle parameters as a basis for HBEFA emission factor estimation, VTI, Sweden 2013.
- [4] Highway Statistics 2008, US Department of Transport, USA 2008. [5] Hultkrantz, L., Nilsson, J.-E., Arvidsson, S., Voluntary internalization of speeding externalities with vehicle insurance,
- [6] Info-Ekspert Computer system, Catalogs, www.info-ekspert.pl.
- [7] Meurs, H., Haaijer, R., Geurs, K. T., Modeling the effects of environmentally differentiated distance-based car-use charges in the Netherlands, Transportation Research Part D 22, Elsevier 2013.
- [8] Paefgen, J., Staake, T., Fleisch, E., Multivariate exposure modeling of accident risk: Insights from Pay-as-you-drive insurance data, Transportation Research Part A61, Elsevier 2014.
- [9] Piernikarski, D., Reduction of fuel consumption in commercial vehicles as a factor influencing transport efficiency, Combustion Engines, 154(3), Poland 2013.
- [10] Prochowski, L., Analysis of the Relations between the Road Category and the Fatality of Road Transport Accidents, Vol. 14, No. 1, Logistics and Transport, Poland 2012.
- [11] Report Automotive Industry, Polish Automotive Industry Association, Year Book 2015.
- [12] Small, K. A., Energy policies for passenger motor vehicles, Transportation Research Part A 46, Elsevier 2012.
- [13] Transport Activity Results in 2014, Central Statistical Office, Warsaw 2015.
- [14] Vierth, I., Schleussner, H., Impacts of different environmentally differentiated truck charges on mileage, fleet composition and emissions in Germany and Sweden, CTS Stockholm, Working Paper, Sweden 2012. 412
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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