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PRACA ORYGINALNA
Analysis of the impact of the technical condition of vehicles on road safety
 
Więcej
Ukryj
1
Transport, Stanisław Staszic State University of Applied Sciences in Piła
 
2
Transport, Stanisław State Staszic University of Applied Sciences in Piła
 
3
Transport, Koszalin University of Technology
 
 
Data nadesłania: 21-04-2023
 
 
Data ostatniej rewizji: 20-06-2023
 
 
Data akceptacji: 22-06-2023
 
 
Data publikacji: 30-06-2023
 
 
Autor do korespondencji
Piotr Gorzelańczyk   

Transport, Stanisław Staszic State University of Applied Sciences in Piła
 
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2023;100(2):62-74
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Every year too many people lose their lives and health on Polish roads. At best, it only ends with damage to their cars. The number of accidents is very high. Despite the construction of new, safer roads, the number of collisions continues to rise, and death, every year, is suffered by about three thousand accident participants. On average, forty-one thousand people are injured annually. The main causes of accidents are failure to adjust speed to prevailing conditions or traffic regulations, driving under the influence of alcohol and random events, as well as the technical condition of the vehicles. The purpose of the article is to answer the question of how the technical condition of the vehicles affects traffic safety. For this reason, an assessment of the technical condition of vehicles during a periodic examination at a vehicle inspection station was made. Based on the study, it can be concluded that the largest percentage of defects detected during the examination is in the tire 40% and steering 40%, defects that are particularly important from the point of view of traffic safety, which were demonstrated during the examination.
 
REFERENCJE (14)
1.
Ali Aden W., Zheng J., Ullah I., Safdar M.: Public Preferences Towards Car Sharing Service: The Case of Djibouti. Frontiers in Environmental Science. 2022, 10, 889453, DOI: 10.3389/fenvs.2022.889453.
 
2.
Dižo J., Blatnický M., Melnik R., Karľa M.: Improvement of Steerability and Driving Safety of an Electric Three-Wheeled Vehicle by a Design Modification of its Steering Mechanism. LOGI – Scientific Journal on Transport and Logistics. 2022, 13(1), 49–60, DOI: 10.2478/logi-2022-0005.
 
3.
Gorzelańczyk P., Sikora K.: Badanie i analiza techniczno-eksploatacyjna mechanicznych i elektrycznych hamulców postojowych. Autobusy. Technika, Eksploatacja, Systemy Transportowe. 2019, 20(1–2), 220–227, DOI: 10.24136/atest.2019.040.
 
4.
Jaskiewicz M., Lisiecki J., Lisiecki S., Pokropiński E., Więckowski D.: Facility for performance testing of power transmission units. Scientific journals of the Maritime University of Szczecin. 2015, 42(114), 14–25, DOI: 10.17402/015.
 
5.
Minister Adamczyk on efforts to educate traffic participants, article dated 30.06.2016, Ministry of Infrastructure and Construction portal (in Polish: Minister Adamczyk o działaniach na rzecz edukacji uczestników ruchu drogowego), https://www.krbrd.gov.pl/minis... (accessed on 23.05.2023).
 
6.
Piatkowski P., Lewkowicz R.: Bezpieczeństwo komunikacji miejskiej. Logistics. 2010, 2727–2736.
 
7.
Police Statistics (in Polish: Statystyki Policyjne), https://statystyka.policja.pl/... (accessed on 23.05.2023).
 
8.
Reflectors for vulnerable road users (in Polish: Odblaski dla niechronionych uczestników ruchu drogowego), https://stargard.policja.gov.p... (accessed on 23.05.2023).
 
9.
Šarkan B., Stopka O.: Quantification of Road Vehicle Performance Parameters under Laboratory Conditions. Advances in Science and Technology Research Journal. 2018, 12(3), 16–23, DOI: 10.12913/22998624/92107.
 
10.
Safdar M., Jamal A., Al-Ahmadi H.M., Rahman M.T., Almoshaogeh M.: Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country. Sustainability. 2022, 14(5), 2778, DOI: 10.3390/su14052778.
 
11.
Tambouratzis T., Souliou D., Chalikias M., Gregoriades A.: Maximising accuracy and efficiency of traffic accident prediction combining information mining with computational intelligence approaches and decision trees. Journal of Artificial Intelligence and Soft Computing Research. 2014, 4(1), 31–42, DOI: 10.2478/jaiscr-2014-0023.
 
12.
Vrabel J., Stopka O., Palo J., Stopkova M., Droździel P., Michalsky M.: Research Regarding Different Types of Headlights on Selected Passenger Vehicles when Using Sensor-Related Equipment. Sensors. 2023, 23(4), 1978, DOI: 10.3390/s23041978.
 
13.
Wang Z., Safdar M., Zhong S., Liu J., Xiao F.: Public Preferences of Shared Autonomous Vehicles in Developing Countries: A Cross-National Study of Pakistan and China. Journal of Advanced Transportation. 2021, 2021, 5141798, DOI: 10.1155/2021/5141798.
 
14.
Zhu L., Lu L., Zhang W., Zhao Y., Song M.: Analysis of accident severity for curved roadways based on bayesian networks. Sustainability. 2019, 11(8), 2223, DOI: 10.3390/su11082223.
 
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