RESEARCH PAPER
Impact of specific factors on the state of the tire pressure value.
1
Department of Agricultural, Forestry and Transport Machines, University of Life Sciences in Lublin, Polska
2
Department of Machine Design and Mechatronics, Lublin University of Technology, Polska
3
Department of Automotive Vehicles, Lublin University of Technology, Polska
4
Faculty of Logistics, University of Maribor, Slovenia
Submission date: 2019-09-18
Final revision date: 2019-09-24
Acceptance date: 2019-09-26
Publication date: 2019-09-30
Corresponding author
Jacek Caban
Department of Agricultural, Forestry and Transport Machines, University of Life Sciences in Lublin, Głęgoka 28, 20-612, Lublin, Polska
Department of Agricultural, Forestry and Transport Machines, University of Life Sciences in Lublin, Głęgoka 28, 20-612, Lublin, Polska
The Archives of Automotive Engineering – Archiwum Motoryzacji 2019;85(3):137-148
KEYWORDS
TOPICS
ABSTRACT
The article presents the research on the impact of specific factors on the state of the pressure value in passenger car wheels in service. Data on how the vehicle was used was obtained based on a survey. The survey contained data on checking the condition of the vehicle tires and also measured the tire pressure. The aim of the study was to investigate the relationship between the impact of specific factors on the state of the pressure value in passenger car wheels. The correlation analysis of the correctness of pressure in car tires and selected factors was carried out using the Kendall tau test. In addition, odds ratio (OR) analysis and the Hosmer and Lemeshow test were used to analyze the results. The work draws attention to the impact of improper tire pressure on tire durability and road safety as well as the functioning of other active safety systems. In addition, attention was drawn to drivers' awareness of the need to control the pressure in the wheels of the vehicle. Based on the analysis it was found that the age of the vehicle used and the driver's knowledge have the greatest impact on the correct tire pressure. Studies have shown that in over 60% of the vehicles analyzed, the tire pressure was normal.
REFERENCES (34)
1.
Besselink I.J.M., Schmeitz A.J.C., Pacejka H.: An improved Magic Formula/Swift tyre model that can handle inflation pressure changes. Vehicle System Dynamics. 2010, 48(1), 337–352, DOI: 10.1080/00423111003748088.
2.
Caban J., Droździel P., Barta D., Liščák Š.: Vehicle tire pressure monitoring systems. Diagnostyka. 2014, 15(3), 11-14.
3.
Carcaterra, A., Roveri, N.: Tire grip identification based on strain information: Theory and simulations. Mechanical Systems and Signal Processing. 2013, 41(1–2), 564–580, DOI: 10.1016/j.ymssp.2013.06.002.
4.
Cheli F., Braghin F., Brusarosco M.,Mancosu F., Sabbioni E.: Design and testing of an innovative measurement device for tyre–road contact forces. Mechanical Systems and Signal Processing. 2011, 25(6), 1956–1972, DOI: 10.1016/j.ymssp.2011.02.021.
5.
Cheli, F., Leo, E., Melzi, S., Sabbioni, E.: On the impact of “smart tyres” on existing ABS/EBD control systems. Vehicle System Dynamics. 2010, 48, 255-270, DOI: 10.1080/00423111003706755.
6.
Clark S.K.: and others, Mechanics of pneumatic tires. Washington DC: National Bureau of Standards, 1971: Monograph 122.
7.
Egaji O.A., Chakhar S., Brown D.: An innovative decision rule approach to tyre pressure monitoring. Expert Systems with Applications. 2019, 124, 252-270, DOI: 10.1016/j.eswa.2019.01.051.
8.
Erd A., Jaśkiewicz M., Koralewski G., Rutkowski D., Stokłosa J.: Experimental research of effectiveness of brakes in passenger cars under selected conditions. 11th International Science and Technical Conference Automotive Safety, Automotive Safety 2018, 1-5, DOI: 10.1109/AUTOSAFE.2018.8373299.
9.
Erdogan G., Hong S., Borrelli F., Hedrick K.: Tire Sensors for the Measurement of Slip Angle and Friction Coefficient and Their Use in Stability Control Systems. SAE International Journal of Passenger Cars—Mechanical Systems. 2011, 4(1), 44-58, DOI: 10.4271/2011-01-0095.
10.
Figlus T., Gnap J., Skrúcaný T., Szafraniec P.: Analysis of the influence of different means of transport on the level of traffic noise. Scientific Journal of Silesian University of Technology. Series Transport. 2017, 97, 27-38, DOI: 10.20858/sjsutst.2017.97.3.
11.
Ghadi M., Torok A., Tanczos K.: Study of the Economic Cost of Road Accidents in Jordan. Periodica Polytechnica Transportation Engineering. 2018, 46(3), 129-134, DOI: 10.3311/PPtr.10392.
12.
Gosławski Ł., Kubiak P., Mrowicki A., Soghabatyan T., Sys E., Wang Y-W., Zou T. Analysis of braking marks left by vehicles equipped with ABS with IR spectroscopy. The Archives of Automotive Engineering. 2019, 84(2), 33-43, DOI: 10.14669/AM.VOL84.ART3.
13.
Jazar R.: Vehicle Dynamics, Theory and applications. Springer Science + Bussines Media, 2009.
14.
Kuiper E., Van Oosten J.J.M.: The PAC2002 advanced handling tire model. Vehicle System Dynamics. 2007, 45, 153-167, DOI: 10.1080/00423110701773893.
15.
Lugner P., Pacejka H., Plochl M.: Recent advances in tyre models and testing procedures. Vehicle System Dynamics. 2005, 43(6-7), 413-426, DOI: 10.1080/00423110500158858.
17.
Nijmeijer H, Schmeitz AJC, Besselink IJM. Enhancing the MF-Swift Tyre Model for Inflation Pressure: I.B.A. op het Veld, Eindhoven, 2007, 11.
18.
Parczewski K.: Effect of tyre inflation preassure on the vehicle dynamics during braking manouvre. Maintenance and Reliability. 2013, 15(2), 134-139.
19.
Parczewski K, Wnęk H. Utilization of the car model to the analysis of the vehicle movement after the curvilinear track. Maintenance and Reliability. 2010, 4, 37-46.
20.
Pillai PS. Effect of tyre overload and inflation pressure on olling loss (resistance) and fuel consumption of automobile and truck/bus tyres. Indian Journal of Engineering and Material Science. 2004, 11, 406-412.
21.
Rievaj V., Hudák A.: The Road transport and safety. CONAT 2010: 11-th International congress on automotive and transport engineering: Brasov, Romania, October 27-29, 2010, 187-192.
22.
Rievaj V., Vrabel J., Hudak A.: Tire Inflation Pressure Influence on a Vehicle Stopping Distances. International Journal of Traffic and Transportation Engineering. 2013, 2(2), 9-13, DOI: 10.5923/j.ijtte.20130202.01.
23.
Singh K.B., Arat M., Taheri S.: An intelligent tire based tire–road friction estimation technique and adaptive wheel slip controller for antilock brake system. Journal of Dynamic Systems, Measurement and Control. 2013, 135(3), 031002, DOI: 10.1115/1.4007704.
24.
Singh K.B., Taheri S.: Estimation of tire–road friction coefficient and its application in chassis control systems. Systems Science and Control Engineering. 2015, 3(1), 39-61, DOI: 10.1080/21642583.2014.985804.
25.
Skrúcaný T., Sarkan B., Figlus T., Synak F., Vrabel J.: Measuring of noise emitted by moving vehicles. DYN-WIND'2017, MATEC Web of Conferences. 2017, 107, 00072, DOI: 10.1051/matecconf/201710700072.
26.
Skrúcaný T., Synák F., Semanová S., Ondruš J., Rievaj V.: Detection of road vehicle's centre of gravity. 11th International Science and Technical Conference Automotive Safety, Automotive Safety 2018, 1-7, DOI: 10.1109/AUTOSAFE.2018.8373334.
27.
Stopka O., Simkova I., KonećnyV.: The quality of service in the public transport and shipping industry. Naše more. 2015, 62(3), 126-130, DOI: 10.17818/NM/2015/SI7.
28.
Szalay Z., Nyerges A., Hamar Z., Hesz M.: Technical specification methodology for an automotive proving ground dedicated to connected and automated vehicles. Periodica Polytechnica Transportation Engineering. 2017, 45(3), 168-174, DOI: 10.3311/PPtr.10708.
29.
Villagra, J., d’Andréa-Novel B., Fliess, M., Mounier, H.: A diagnosis-based approach for tire–road forces and maximum friction estimation. Control Engineering Practice. 2011, 19(2), 174-184, DOI: 10.1016/j.conengprac.2010.11.005.
31.
Wei, Ch., Zhou, W., Wang, Q., Xia, X., Li, X.: TPMS (tire-pressure monitoring system) sensors: Monolithic integration of surface-micromachined piezoresistive pressure sensor and self-testable accelerometer. Microelectronic Engineering. 2012, 91, 167-173, DOI: 10.1016/j.mee.2011.10.001.
32.
Weyssenhoff A., Opala M., Koziak S., Melnik R.: Characteristics and investigation of selected manufacturing defects of passenger car tires. Transportation Research Procedia. 2019, 40, 119-126, DOI: 10.1016/j.trpro.2019.07.020.
33.
Wypadki drogowe w Polsce w 2018 roku. Komenda Główna Policji, Biuro Ruchu Drogowego, Warszawa 2019.
34.
Žuraulis V., Surblys V., Šabanovič E.: Technological measures of forefront road identification for vehicle comfort and safety improvement. Transport. 2019, 34(3), 363-372, DOI: 10.3846/transport.2019.10372.
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