The article deals with issues of vehicle braking from different points of view. We made repeated braking tests of modern vehicles during intensive braking on various asphalt surfaces with the goal to evaluate character of this random variable. We dedicated our attention also to the accuracy attainable using various measuring methods and equipment. Within measurement of braking deceleration we used low-end measuring device (mobile smartphone) and measuring devices most used in Slovakia (XL Meter™ Pro Gamma). The collected data were processed in the software XL Vision and evaluated by SW PC-Crash 10.9. Usable result from article is mainly measurement set of braking deceleration of current modern vehicles during intensive braking on various asphalt surfaces as well as evaluation of accuracy levels with respect to various used devices.
 Burg, H. & Moser, A. (2009). Handbuch Verkehrsunfall-rekonstruktion, Vieweg+Taubner, Wiesbaden, Germany.
 Hockicko, P. & Trpišová, B. (2013). Are students’ conceptions about automobile braking distances correct? In Engineering Education Fast Forward 1973 - 2013: proceedings of the 41st SEFI annual conference, 16-20 September. Leuven, Belgium. Brussels: SEFI.
 Šarkan, B. (2013). Diagnostics of road vehicles: instructions for exercises. Zilina: University of Zilina, EDIS, Slovak Republic.
 Vrábel, J., Jagelčák, J., Rievaj, V. & Caban, J. (2014). The quality of the brake components and its impact on the basic parameters of braking. Machines, technologies, materials: international virtual journal, 8(6), 6-8.
 SW PC Crash, 10.9. (2018). Data processed by authors.
 Musicant, O., Botzer, A., Laufer, I. & Collet, C. (2018). Relationship between Kinematic and Physiological Indices during Braking Events of Different Intensities. Human Factors, 60(3), 415-427. DOI: 10.1177/0018720817752595.
 Lonkwic, P., Lygas, K., Wolszczak, P., Molski, S. & Litak, G. (2017). Braking deceleration variability of progressive safety gears using statistical and wavelet analyses. Measurement, 110, 90-97. DOI: 10.1016/j.measurement.2017.06.005.
 Nadolski, R., Ludwinek, K., Staszak, J. & Jaśkiewicz, M. (2012). Utilization of BLDC motor in electrical vehicles. Przeglad Elektrotechniczny, 88(4A), 180-186.
 Tak, S., Kim, S. & Yeo, H. (2015). Development of a Deceleration-Based Surrogate Safety Measure for Rear-End Collision Risk. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2435-2445. DOI: 10.1109/TITS.2015.2409374.
 Terzo, A., Gobbato, P., Masi, M. & Rossi, A. (2016). An Engine/Vehicle Model to Assess the Theoretical Increase of Car Safety by Using the Spark Ignition Engine to Support the Conventional Braking System. International Journal of Braking Thermodynamics, 19(4), 187-196. DOI: 10.5541/ijot.5000156180.
 Sokolov, V. & Krol, O. (2017). Installations Criterion of Deceleration Device in Volumetric Hydraulic Drive. In International Conference on Industrial Engineering (ICIE2017), Book Series: Procedia Engineering, 206, 16-19 May (pp. 936-943). Saint Petersburg, Russia. DOI: 10.1016/j.proeng.2017.10.575.
 Li, X., Yan, X., Wu, J., Radwan, E. & Zhang, Y. (2016). A rear-end collision risk assessment model based on drivers’ collision avoidance process under influences of cell phone use and gender-A driving simulator based study. Accident Analysis and Prevention, 97(1), 1-18. DOI: 10.1016/j.aap.2016.08.021.
 Haque, M.M. & Washington, S. (2015). The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model. Transportation Research Part C: Emerging Technologies, 50, 13-27. DOI: 10.1016/j.trc.2014.07.011.