Expressway bottleneck section congestion identification method and system based on end-side cloud fusion

Abstract

The invention relates to a highway bottleneck section congestion identification method and system based on end-side cloud, and the method comprises the steps: obtaining intelligent vehicle data and roadside terminal data, and obtaining a congestion identification index data set according to the data; standardizing each piece of index data contained in the congestion identification index data set to obtain each piece of standardized index data; performing extraction processing on the index data by utilizing an interaction algorithm and an LSTM (Long Short Term Memory) algorithm to obtain a sufficient representation quantity of the congestion identification index data set; a congestion state type is determined based on a sufficient representation of the congestion identification indicator dataset. The method adapts to the characteristics of a large number of parameters and time varying in a complex traffic environment, and the accuracy of identifying the existing bottleneck road section is improved.

Description

technical field [0001] This patent relates to the field of intelligent transportation technology. Specifically, it relates to a congestion identification method and system for expressway bottleneck sections based on terminal-edge-cloud fusion. Background technique [0002] With the rapid development of my country's economy, the number of national motor vehicles has increased significantly, making the problem of congestion on expressway bottleneck sections (suddenly narrow sections) increasingly severe. Traffic congestion is an important factor that affects the operating efficiency of expressways and the driver's travel experience, and is a key indicator that determines the normal operation of road traffic. [0003] For the complex expressway environment, the existing technologies are mainly aimed at the basic sections of the expressway, and there are few researches on the identification of traffic congestion on the bottleneck section of the expressway. [0004] Not only th...

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Problems solved by technology

[0003] For the complex expressway environment, the existing technology is mainly aimed at the basic sections of the expressway, and there are few researches on the identification of traffic congestion on the bottleneck section of the expressway.

[0004] Not only that, due to the large number and time-varying characteristics of bottleneck road index sets, traditional traffic jam identification methods cannot process multiple sensor data in real time, and cannot accurately eliminate interference factors, resulting in wrong identification of traffic jams.

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