The article discusses the issues of improving the collection of traffic information using video cameras and the statistical processing of collected data. The aim of the article was to identify the main patterns of traffic at intersections in traffic congestion and to develop an analysis technique to improve traffic management at intersections. In modern conditions, there is a sharp increase in the number of vehicles, which leads to negative consequences, such as an increase in travel time, additional fuel consumption, increased risk of traffic accidents and others. To solve the problem of improving traffic control at intersections, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The purpose of this article is to determine the most important traffic characteristics that affect the throughput of intersections. As a criterion for the cross-pass ability of the intersection, the actual number of passing cars during the permission signal of the torch light is taken. Using multivariate regression analysis, a model was developed to predict intersection throughput taking into account the most important traffic characteristics. Analysis of the throughput of intersections using the fuzzy logic method confirmed the correctness of the developed model. In addition, based on the results of processing information collected at 20 intersections and including 597 observations, a methodology was developed for determining the similarity of traffic intersections. This allows us to identify homogeneous types of intersections and to develop typical traffic management techniques in the city, instead of individually managing each node of the city’s transport network individually. The results obtained lead to a significant reduction in costs for the organization of rational traffic flows.

中文翻译：

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基于统计分析和摄像机数据的交叉口识别特征识别

本文讨论了使用摄像机改善交通信息收集以及收集数据的统计处理的问题。本文旨在确定交通拥堵路口的主要交通方式，并开发一种分析技术来改善路口的交通管理。在现代条件下，车辆数量急剧增加，这带来了负面影响，例如旅行时间增加，额外的燃油消耗，交通事故风险增加等。为了解决改善十字路口交通控制的问题，有必要建立一个可靠的信息收集系统，并运用现代有效的方法来处理所收集的信息。本文的目的是确定影响路口吞吐量的最重要的交通特征。作为交叉口的交叉通过能力的标准，采用在手电筒的许可信号期间经过的轿厢的实际数量。使用多元回归分析，开发了一个模型来预测路口通过量，同时考虑到最重要的交通特征。使用模糊逻辑方法对交叉路口的通行能力进行分析，证实了所开发模型的正确性。此外，根据对在20个交叉口收集的信息进行处理并包括597个观测值的结果，开发了一种用于确定交通交叉口相似性的方法。这使我们能够识别同类型的十字路口并开发城市中的典型交通管理技术，而不必单独管理城市交通网络的每个节点。获得的结果导致组织合理的交通流量的成本大大降低。