INFORMATION APPROACH TO DETERMINING THE TRAFFIC ROUTE BY VEHICLES DRIVERS IN CITIES

Authors

DOI:

https://doi.org/10.15802/stp2020/203456

Keywords:

traffic flow, temperament, driving route, questioning, nervous system, adequacy, criteria, modeling, correlation, driver, car

Abstract

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.

Author Biographies

Y. O. Davidich, National University of Urban Economy in Kharkiv

Dep. «Transport Systems and Logistics», О. М. Beketov National University of Urban Economy in Kharkiv, Marshala Bazhanova St., 17, Kharkiv, Ukraine, 61002, tel. +38 (057) 707 32 61, e-mail Yuriy.Davidich@kname.edu.ua,

I. V. Chumachenko, National University of Urban Economy in Kharkiv

Dep. «Management of Projects in Urban Economy and Construction», О. М. Beketov National University of Urban Economy in Kharkiv, Marshala Bazhanova St., 17, Kharkiv, Ukraine, 61002, tel. +38 (057) 707 31 32, e-mail pmkaf@kname.edu.ua

A. S. Galkin, National University of Urban Economy in Kharkiv

Dep. «Transport Systems and Logistics», О. М. Beketov National University of Urban Economy in Kharkiv, Marshala Bazhanova St., 17, Kharkiv, Ukraine, 61002, tel. +38 (057) 707 32 61, e-mail galkin.tsl@gmail.com

N. V. Davidich, National University of Urban Economy in Kharkiv

Dep. «Management of Projects in Urban Farming and Construction», О. М. Beketov National University of Urban Economy in Kharkiv, Marshala Bazhanova St., 17, Kharkiv, Ukraine, 61002, tel. +38 (057) 707 31 32, e-mail pmkaf@kname.edu.ua

Y. I. Кush, National University of Urban Economy in Kharkiv

Dep. «Transport Systems and Logistics», О. М. Beketov National University of Urban Economy in Kharkiv, Marshala Bazhanova St., 17, Kharkiv, Ukraine, 61002, tel. +38 (057) 707 32 61, e-mail yevhen.kush@gmail.com

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Published

2020-05-25

How to Cite

Davidich, Y. O., Chumachenko, I. V., Galkin, A. S., Davidich, N. V., & Кush Y. I. (2020). INFORMATION APPROACH TO DETERMINING THE TRAFFIC ROUTE BY VEHICLES DRIVERS IN CITIES. Science and Transport Progress, (4(88), 51–60. https://doi.org/10.15802/stp2020/203456

Issue

Section

INFORMATION AND COMMUNICATION TECHNOLOGIES AND MATHEMATICAL MODELING