MODELING THE DRIVER'S REACTION TIME TAKING INTO ACCOUNT THE INFLUENCE OF CONFLICT SITUATIONS ON CITY STREETS

Array

Authors

  • O. Prasolenko O.M. Beketov National University of Urban Economy in Kharkiv
  • V. Chumachenko Ltd. “Viasystempro”
  • O. Grekova O.M. Beketov National University of Urban Economy in Kharkiv

Keywords:

driver, reaction time, conflict situations, functional state.

Abstract

The driver's reaction time is the most important characteristic when driving. The driver's reaction time is the period of time from the moment the stimulus appears in the driver's field of vision until the start of the action (application of the brake pedal, accelerator, steering wheel). The response time to stimuli depends on: the driver's age; the state of his health; mental state; alcohol or drug consumption; if at the moment he is in the vehicle alone or with a passenger, etc. The functional state of the driver is a complex of characteristics of the functions and qualities of the operator, which directly or indirectly characterizes the performance of labor activity. This definition draws a line between the state of a person and the state of his individual physiological and psychophysiological functions. One of these indicators is the stress index. Heart rate is a stable and accurate indicator of functional status. The experiment involved drivers with 10-16 years of experience. The driver's cardiogram was recorded using a portable Holter and analyzed in the CardioSens CS system. According to the degree of danger, conflict situations are divided into three types: light, medium and critical. The degree of danger of a conflict situation is determined by the appearance of critical accelerations. A racelogic device was used to register the acceleration parameters. The obtained dependences of the change in the functional state of the driver and the reaction time in accordance with the number of conflict situations while driving indicate significant fluctuations in these indicators. Change in reaction time from 0.7 sec. up to 1.5 sec. associated with significant psychophysio-logical stress on the driver, the number of conflict situations of various types: the appearance of a pedestrian, dangerous maneuvering of other vehicles, etc. At the same time, the driver's stress may increase by more than 2.5 times. The article discusses an approach to modeling the driver's reaction time, taking into account the influence of conflict situations on city streets. Experimental studies of the regularities of changes in the reaction time, the stress index of drivers in traffic on city streets have been carried out. Two factor models have been built, taking into account the mutual influence of factors of movement time in urban conditions and the number of conflict situations.

Author Biographies

O. Prasolenko, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Associate Professor

V. Chumachenko, Ltd. “Viasystempro”

Engineer

O. Grekova, O.M. Beketov National University of Urban Economy in Kharkiv

Assistant

References

1. Jurecki, R.S., & Stańczyk, T.L. (2014). Driver reaction time to lateral entering pedestrian in a simulated crash traffic situation. Transportation research part F: traffic psychology and behaviour, 27, 22–36. DOI: https://doi.org/10.1016/j.trf.2014.08.006
2. Dozza, M. (2013). What factors influence drivers’ response time for evasive maneuvers in real traffic? Accident Analysis & Prevention, 58, 299–308. DOI: https://doi.org/10.1016/j.aap.2012.06.003
3. Gavrilov, E.V. (1992). Theoretical bases of designing and the organization of conditions of traffic taking into account laws of behavior of drivers. The dis. doctor of technical sciences. Sciences, KADI, 300 p. [in Ukrainian]
4. Lobanov, E.M. (1980). Designing roads and organizing traffic, taking into account the driver's psychophysiology. Transport, Moscow. [in Russian]
5. Sansosti, L.E., Spiess, K.E., & Meyr, A.J. (2017). Diabetic driving studies—part 3: a comparison of mean brake response time between neuropathic diabetic drivers with and without foot pathology. The Journal of Foot and Ankle Surgery, 56(3), 577–580. DOI: http://dx.doi.org/10.1053/j.jfas.2017.01.044
6. Yadav, A.K., & Velaga, N.R. (2019). Modelling the relationship between different Blood Alcohol Concentrations and reaction time of young and mature drivers. Transportation research part F: traffic psychology and behaviour, 64, 227–245. DOI: http://dx.doi.org/10.1016/j.trf.2019.05.011
7. Pawar, N.M., & Velaga, N.R. (2020). Modelling the influence of time pressure on reaction time of drivers. Transportation research part F: traffic psychology and behaviour, 72, 1–22. DOI: https://doi.org/10.1016/j.trf.2020.04.017
8. Makishita, H., & Matsunaga, K. (2008). Differences of drivers’ reaction times according to age and mental workload. Accident Analysis & Prevention, 40(2), 567–575. DOI: https://doi.org/10.1016/j.aap.2007.08.012
9. Chakrabarty, N., & Gupta, K. (2013). Analysis of driver behaviour and crash characteristics during adverse weather conditions. Procedia-social and behavioral sciences, 104, 1048–1057. DOI: https://doi.org/10.1016/j.sbspro.2013.11.200
10. Haque, M.M., & Washington, S. (2014). A parametric duration model of the reaction times of drivers distracted by mobile phone conversations. Accident Analysis & Prevention, 62, 42–53. DOI: https://doi.org/10.1016/j.aap.2013.09.010
11. Hancock, P.A., Lesch, M., & Simmons, L. (2003). The distraction effects of phone use during a crucial driving maneuver. Accident Analysis & Prevention, 35(4), 501–514.
12. Berg, W.P., & Dessecker, D.J. (2013). Evidence of unconscious motor adaptation to cognitive and auditory distraction. Adaptive behavior, 21(5), 346–355.
13. Hendrick, J.L., & Switzer, J.R. (2007). Hands-free versus hand-held cell phone conversation on a braking response by young drivers. Perceptual and Motor Skills, 105(2), 514–522. DOI: https://doi.org/10.2466/pms.105.2.514-522
14. Žuraulis, V., Nagurnas, S., Pečeliūnas, R., Pumputis, V., & Skačkauskas, P. (2018). The analysis of drivers’ reaction time using cell phone in the case of vehicle stabilization task. International journal of occupational medicine and environmental health, 31(5), 1–16. DOI: https://doi.org/10.13075/ijomeh.1896.01264
15. Pawar, N.M., Khanuja, R.K., Choudhary, P., & Velaga, N.R. (2020). Modelling braking behaviour and accident probability of drivers under increasing time pressure conditions. Accident Analysis & Prevention, 136, 105401. DOI: https://doi.org/10.1016/j.aap.2019.105401
16. Plainis, S., & Murray, I.J. (2002). Reaction times as an index of visual conspicuity when driving at night. Ophthalmic and physiological optics, 22(5), 409–415. DOI: https://doi.org/10.1046/j.1475-1313.2002.00076.x
17. Lukoshi︠a︡vichene, O.V. (1988). Simulation of traffic accidents. Transport, Moscow. [in Russian]
18. Innovative Technologies for the Development of Mechanical Engineering and Efficient Operation of Transport Systems: Materials of the 1st International Scientific and Technical Internet Conference May 21–23, 2019. Rivne: NUVGP. [in Ukrainian]
19. Shestokas, V.V., & Samoilov, D.S. (1987). Conflict situations and road safety in cities. Transport, Moscow. [in Russian]
20. Prasolenko, O., Lobashov, O., Bugayov, I., Gyulyev, N., & Filina-Dawidowicz, L. (2019). Designing the conditions of road traffic in the cities taking into account the human factor. In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 1–8. DOI: https://doi.org/10.1109/MTITS.2019.8883381

Published

2021-10-01

How to Cite

Prasolenko, O., Chumachenko, V., & Grekova, O. (2021). MODELING THE DRIVER’S REACTION TIME TAKING INTO ACCOUNT THE INFLUENCE OF CONFLICT SITUATIONS ON CITY STREETS: Array. Municipal Economy of Cities, 4(164), 246–251. Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/5846