INFORMATION APPROACH TO DETERMINING THE TRAFFIC ROUTE BY VEHICLES DRIVERS IN CITIES
DOI:
https://doi.org/10.15802/stp2020/203456Keywords:
traffic flow, temperament, driving route, questioning, nervous system, adequacy, criteria, modeling, correlation, driver, carAbstract
Purpose. Modeling the transport network, streamlining the development and planning of traffic flows, which is possible through the introduction of information technology, leads to better control of the transport system and transport operations. The study is aimed at gaining new knowledge on determining traffic routes for vehicle drivers in cities. Currently discovered patterns of drivers choosing traffic routes are offered for all drivers of vehicles, regardless of their individual characteristics. Methodology. When determining the patterns of drivers choosing the routes of vehicles in cities, it is proposed to conduct differentially depending on the individual characteristics of drivers, which are determined by the type of nervous system. Based on the analysis, factors were identified that affect the choice of traffic route for drivers. In order to fix the identified factors, a survey was conducted using a specially designed questionnaire. To take into account the individual characteristics of drivers using a typological questionnaire, the type of nervous system was determined. To determine the patterns of choice of traffic routes for drivers of vehicles, methods of regression analysis were used. Findings. Based on the data obtained from a survey of vehicle drivers, a model was developed for changing the correspondence share implemented by the drivers with the sanguine type of nervous system on the alternative traffic routes. A statistical evaluation of the resulting model indicates the admissibility of its use for predicting the parameters of traffic flows in urban sustainable development projects. Originality. For the first time, the authors conducted a study of the patterns of choice of traffic routes for drivers of vehicles, taking into account the individual characteristics of drivers, which are determined by the type of nervous system. Practical value. Based on the results obtained, it is possible to model the transport network, rationalize the development and plan traffic flows, which is possible through the introduction of information technologies. Modeling the traffic routes of vehicles makes it possible to analyze the throughput of highways and intersections. The introduction of information technology leads to better control of the transport system and transport operations.
References
Balamirzoev, A. G., Alieva, K. R., & Balamirzoeva, E. R (2013). Decision-making passenger traffic at the choice of the route of movement. Fundamental research, 4, 267-271. (in Russian)
Davidich, Y. A., & Ponkratov, D. P. (2006). The traffic trip distribution between alternative routes. Bulletin of Kremenchug State Polytechnic University, 2/2006(37), 86-88. (in Russian)
Dmytrychenko, M. F. (2007). Systemolohiia na transporti. (Vol. 4). Kiev: Znannia Ukrainy. (in Ukrainian)
Issledovanie svyazi tipa vysshey nervnoy deyatelnosti i svoystv temperamenta. Retrieved from http://www.refstar.ru/data/r/id.16907_1.html (in Russian)
Temperament i tip nervnoy sistemy. Temperament i stil raboty. Retrieved from http://www.detskiysad.ru/ped/ped243.html (in Russian)
Tipy nervnoy sistemy. Temperamenty. Retrieved from https://www.medglav.com/zdorovyy-chelovek/tipy-nervnoy-sistemy.html (in Russian)
Polishchuk, I. A., & Vydrenko, A. S. (1980). Atlas dlya eksperimentalnogo issledovaniya otkloneniy v psikhiche-skoy deyatelnosti cheloveka. Kiev: Zdorove. (in Russian)
Chumachenko, I., Galkin, A., Davidich, N., Kush, Y., & Litomin, I. (2020). Patterns of urban transport flows generation. Municipal economy of cities, 1(154), 248-252. DOI: https://doi.org/10.33042/2522-1809-2020-1-154-248-252 (in Ukrainian)
Shvetsov, V. I. (2003). Matematicheskoe modelirovanie transportnykh potokov. Mosсow: Institut sistemnogo analiza RAN. (in Russian)
Antoniou, C., Efthymiou, D., & Chaniotakis, E. (2020). Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns. Elsevier. (in English)
Cascetta, E. (2009). Transportation systems analysis: models and applications (Vol. 29). Springer Science & Business Media. DOI: https://doi.org/10.1007/978-0-387-75857-2 (in English)
Davidich, N., Galkin, A., Sabadash, V., Chumachenko, I., Melenchuk, T., & Davidich, Y. (2020). Projecting of Urban Transport Infrastructure Considering the Human Factor. Communications-Scientific Letters of the University of Zilina, 22(1), 84-94. DOI: https://doi.org/10.26552/com.c.2020.1.84-94
Fusco, G. (2017). Intelligent transport systems: Past, present and future directions. Nova Science Publisher. (in English)
Galkin, A., Davidich, N., Kush, Ye., Davidich, Yu., & Lobashov, O. (2018). Modelling Truck's Transportation Speed On The Route Considering Driver's State. Transportation Research Procedia, 30, 207-215. DOI: https://doi.org/10.1016/j.trpro.2018.09.023 (in English)
Kapski, D., Kasyanik, V., Lobashov, O., Volynets, A., Kaptsevich, O., & Galkin, A. (2019). Estimating the Parameters of Traffic Flows on the Basis of Processing of Localization Data on the Movement of Vehicles. Communications-Scientific letters of the University of Zilina, 21(2), 89-99. DOI: https://doi.org/10.26552/com.C.2019.2.89-99 (in English)
Downloads
Published
How to Cite
Issue
Section
License
Copyright and Licensing
This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.
The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.