Abstract
The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.
Highlights
Urban transport systems under infrastructural constraints cannot cope with a continuous increase in road traffic
It is necessary to develop a methodology that allows using the information obtained from video cameras to analyze the traffic situation and to identify the main features of the road infrastructure that most affect the causes of traffic congestion
This paper focuses on the development of a mathematical model of traffic at intersections based on fuzzy logical analysis methods
Summary
Urban transport systems under infrastructural constraints cannot cope with a continuous increase in road traffic. It should not be forgotten that the data obtained using video surveillance systems can be successfully and effectively used to improve road and transport infrastructure [2] This is especially true for intersections, since it is on these sections of the road that the greatest number of problems arise. It is necessary to develop a methodology that allows using the information obtained from video cameras to analyze the traffic situation and to identify the main features of the road infrastructure that most affect the causes of traffic congestion. The solution of such a problem requires the widespread use of statistical and computer methods.
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