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T-Comm_Article 6_12_2021

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INVESTIGATION OF RISK FACTORS FOR VIOLATIONS RELATED TO THE USE OF SMARTPHONES WHILE DRIVING

Pavel I. Pospelov, Moscow Automobile and Road Construction State Technical University, Moscow, Russia, pospelov@madi.ru
Alexander G. Tatashev, Moscow Automobile and Road Construction State Technical University, Moscow, Russia, a-tatashev@yandex.ru
Yuri V. Trofimenko, Moscow Automobile and Road Construction State Technical University, Moscow, Russia, ecology@madi.ru
Marina V. Yashina, Moscow Automobile and Road Construction State Technical University, Moscow, Russia, yash-marina@yandex.ru

Abstract
One of the most common traffic violations committed by drivers is using a smartphone while driving. In Germany, a methodology for conducting observations on roads was developed, as a result of which data was obtained on the frequency of actions by drivers not permitted by traffic rules, taking into account the influence of factors such as the age and gender of the driver, the type of road — a highway, an intracity or rural road, time of day, day weeks, season of the year. The 2019 survey and analysis of secondary distraction-related behaviors are summarized in a final report, one of two volumes of which addresses the issue of smartphone use by drivers and factors affecting the incidence of this type of violation. In this paper, we propose an approach using the methods of mathematical statistics to assess the correlation between the factors under consideration and the frequency of using smartphones.

Keywords:road safety, risk factors, correlation, factor statistical analysis

References

1. Haufikeit von Anblenkung bei Autofahren Berichte der Bundesanstalt f?r Strassenwesen. Mensch und Sicherkeit, 2020, Heft M 297.
2. M.V. Yashina, A.G. Tatashev, A.S. Dotkulova (2019). Function of the state of the traffic flow taking into account the influence of the human factor. Information technologies and innovations in transport. Materials of the 5th International Scientific and Practical Conference. Oryol, May 22-23, 2019. Publishing house: Oryol State un-t them. I.S. Turgenev, 2019. P. 52-57.
3. M.V. Yashina, A.G. Tatashev, A.S. Dotkulova, N.P. Susoev (2019). Deterministic-stochastic traffic model with a variation of the psychophysiological properties of drivers. Systems of synchronization, signal generation and processing, 2019, No. 6. P. 74-79.
4. M.V. Yashina, A.G. Tatashev, A.S. Dotkulova, N.P. Susoev (2019). Accounting psycho-physiological types of drivers in the deterministic-stochastic traffic model. 2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO), pp. 1-4. DOI: 10.1109/SYNCHROINFO.2019.8814008.
5. P.I. Pospelov, M.A. Belova, A.V. Kostsov, A.G. Tatashev, M.V. Yashina (2019). Technique of traffic flow evolution localization for calibration of deterministic-stochastic segregation model. 2019 Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-5. DOI: 10.1109/SOSG.2019.8706766
6. P. Pospelov, A. Kostsov, A. Tatashev, M. Yashina A (2019). mathematical model of traffic segregation on multilane road. Periodicals of Engineering and Natural Sciences, vol. 7, no. 1, pp. 442-446. DOI:10.21533/pen.v7i1.384
7. M.V. Yashina, A.G. Tatashev, P.I. Pospelov, N.P. Susoev (2020). Optimization of regulation parameters for traffic scenario with dedicated public transport lane. 2020 International Conference on Engineering Management of Communication and Technology (EMCTECH), pp. 1-6. DOI: 10.1109/EMCTECH49634.2020.9261534.
8. M.V. Yashina, A.G. Tatashev, P.I. Pospelov, Duc Long, N.P. Susoev (2021). Evaluation methodology of distribution of vehicle lane-change probabilities on multilane road before crossroad. 2021 Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-5.
9. P.I. Pospelov, Le Duc Long, A.G. Tatashev, M.V. Yashina (2021). Methodology of assessing the regulated crossing throughput with a dedicated lane for ground public transport based on a probabilistic model. 2021 IOP Conference Series: Materials Science and Engineering, 1159 012084.
10. P.I. Pospelov, Le Duc Long (2021). Organization of traffic at an unregulated intersection with a dedicated lane for ground public transport. Bulletin of the Moscow Automobile and Highway State Technical University (MADI), 2021, No. 2 (65). P. 88-95.
11. A.S. Dotkulova, M.V. Yashina, Y.V. Trofimenko, A.G. Tatashev (2020). Attention driver evaluation in collective traffic behavior via gaming technology. 2020 International Conference on Engineering Management of Communication and Technology (EMCTECH), pp. 1-6. DOI: 10.1109/EMCTECH49634.2020.9261531.
12. Yu.V. Trofimenko (2009). Assessment of the harm caused to the environment by the regional motor transport complex. Bulletin of the Moscow Automobile and Road Technical Institute (State Technical University), vol. 17, no. 2. P. 97-103.
13. Yu.V. Trofimenko, T.Yu. Grigorieva, E.V. Shashina (2010). Transport system and driver reliability. Motor transport enterprise. No. 10. P. 16-19.
14. Yu.V. Trofimenko (2010). Ways to improve the environmental and road safety of the motor transport complex in Russia. Bulletin of the Samara Scientific Center of the Russian Academy of Sciences, vol. 12, no. 1-9. P. 2345-2349.
15. Yu.V. Trofimenko, T.Yu. Grigorieva, E.V. Shashina (2012). Measures to reduce driver fatigue and stress when performing inter-city and international transport. Avtotransportnoe predpriyatie. No. 5. P. 9-11.
16. Yu.V. Trofimenko, A.N. Yakubovich (2015). Methodology for predicting the risks of natural emergencies on the road network. Safety in Technosphere. No. 2 (March — April). P. 73-82.
17. Yu.V. Trofimenko, A.N. Yakubovich (2017). Risks of natural disasters on a promising network of high-speed highways in Russia. Science and technology of the road industry. Vol. 79. No. 1. P. 38-43.
18. Yu. Trofimenko, V. Komkov, K. Trofimenko (2020). Forecast of energy consumption and greenhouse gase emissions. Transportation Research Procedia. Vol. 50, pp. 698-707. DOI: 101016/ j.trpro.2020.10.082
19. T. Kathmann, C. Scotti, A.K. Huemer, M. Mennecke, M. Vollrath (2017). Konzept fur eine Regelmssige Erhebung der Nutzungshafigkeit von Smartfones bei Pkw-Fahrern, Schlussbericht zum FE 82.0670/2016 im Auftrag der Bundesanstalt fur Strassenwesen, DTV-Verkehrconsult GmbH und Technische Universitat Braunschweig, Aachen/Braunschweig.
20. T. Kathmann, M. Johannes, T. von Hermes, A. Huemer, M. Vollrath (2019). Erhebung der Nutzungshfigkeit von Smartfones durch Pkw-Fahrer, Kompendium, DTV-Verkehrconsult GmbH und Technische Universitat Braunschweig, Aachen/Braunschweig.
21. I.I. Eliseeva, M.M. Yuzbashev (2006). General theory of statistics. 5th ed. Moscow: Finance and Statistics. 656 p.

Information about author:

Pavel I. Pospelov, Doctor of Technical Sciences, Professor, Moscow Automobile and Road Construction State Technical University, Moscow, Russia
Alexander G. Tatashev, Doctor of Physical and Mathematical Sciences, Professor, Moscow Automobile and Road Construction State Technical University, Moscow, Russia
Yuri V. Trofimenko, Moscow Automobile and Road Consstruction State Technical University, Moscow, Russia
Marina V. Yashina, Doctor of Technical Sciences, Professor, Moscow Automobile and Road Construction State Technical University, Moscow, Russia