Abstract

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

Highlights

  • IntroductionOne of the unsolved problems for city transport systems to date is the problem of increasing the efficiency of traffic management in terms of preventing traffic congestions [1]

  • One of the unsolved problems for city transport systems to date is the problem of increasing the efficiency of traffic management in terms of preventing traffic congestions [1].Their formation in the road network inevitably entails a number of negative consequences, the most tangible of which for the urban population is an increase in the time of movement within the city due to an increase in transport delays [1], excessive fuel consumption by cars [1], environmental deterioration [1,2], and a decrease in the level of social comfort and quality of life [1,3]

  • The results of the analysis showed that situations when the value of the traffic flow rate tends to zero arise in the event of a traffic jam, and in the case of a complete absence of vehicles on the road network

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Summary

Introduction

One of the unsolved problems for city transport systems to date is the problem of increasing the efficiency of traffic management in terms of preventing traffic congestions [1] Their formation in the road network inevitably entails a number of negative consequences, the most tangible of which for the urban population is an increase in the time of movement within the city due to an increase in transport delays [1], excessive fuel consumption by cars [1], environmental deterioration [1,2], and a decrease in the level of social comfort and quality of life [1,3]. It is obvious that when vehicles move across the city, various sections of the road will conditional locations where transport demand is either formed or satisfied [1,6]

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