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

Authors: null Y. O. Davidich; null I. V. Chumachenko; null A. S. Galkin; null N. V. Davidich; null Y. I. Кush;

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

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.

Keywords

adequacy, транспортний потік; темперамент; маршрут руху; анкетування; нервова система; адекватність; критерій; моделювання; кореляція; водій; автомобіль, driver, TA1001-1280, questioning, criteria, nervous system, modeling, temperament, car, traffic flow, Transportation engineering, транспортный поток; темперамент; маршрут движения; анкетирование; нервная система; адекватность; критерий; моделирование; корреляция; водитель; автомобиль, correlation, traffic flow; temperament; driving route; questioning; nervous system; adequacy; criteria; modeling; correlation; driver; car, driving route

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold