Microscopic and macroscopic flow models of traffic management

F M Nazarov, B Sh Eshtemirov, Q Sh Saydullayev
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Abstract

Today, the issue of video data processing is very urgent. For example, determining the purpose of human behavior, analyzing economic networks, identifying and eliminating traffic jams on the streets, etc. Nowadays, the increase in the number of vehicles moving on the roads creates traffic jams on the city streets. This makes it urgent to eliminate traffic jams, especially in tourist cities. First of all, the causes of traffic congestion should be identified, traffic congestion can have various causes, such as insufficient capacity, unrestricted demand, traffic light delays, pedestrians crossing the roads at the wrong place , wrong location of sidewalks and etc. Therefore, there is a need to simulate and optimize traffic control to better meet this growing demand. In this research paper, microscopic and macroscopic traffic flow models are reviewed and their properties are discussed to determine which one is suitable for use in this study.
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交通管理的微观和宏观流模型
当前,视频数据处理问题十分迫切。例如,确定人类行为的目的,分析经济网络,识别和消除街道上的交通堵塞等。如今,道路上行驶的车辆数量的增加造成了城市街道上的交通堵塞。这使得消除交通堵塞迫在眉睫,尤其是在旅游城市。首先要确定交通拥堵的原因,交通拥堵可能有多种原因,如通行能力不足、需求无限制、交通灯延误、行人过马路的错误位置、人行道的错误位置等。因此,有必要模拟和优化交通控制,以更好地满足这一日益增长的需求。本文对微观交通流模型和宏观交通流模型进行了综述,并讨论了它们的性质,以确定哪一种模型适合于本研究。
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