High-speed traffic flow prediction method based on multi-modal fusion and graph attention mechanism

A prediction method and attention technology, applied in the field of traffic information, can solve the problems of gradient disappearance, limited ability to capture complex topology features, and error accumulation, and achieve the effect of improving prediction accuracy.

A prediction method and attention technology, applied in the field of traffic information, can solve the problems of gradient disappearance, limited ability to capture complex topology features, and error accumulation, and achieve the effect of improving prediction accuracy.

CN111540199AActive Publication Date: 2020-08-14ZHEJIANG PROVINCIAL INST OF COMM PLANNING DESIGN & RES CO LTD
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  • High-speed traffic flow prediction method based on multi-modal fusion and graph attention mechanism
  • High-speed traffic flow prediction method based on multi-modal fusion and graph attention mechanism
  • High-speed traffic flow prediction method based on multi-modal fusion and graph attention mechanism

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Embodiment Construction

[0044] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] The high-speed traffic flow prediction method based on multimodal fusion and graph attention mechanism of the present invention includes the following steps:

[0046] (1) Feature data collection and preprocessing.

[0047] 1.1 Calculation of vehicle speed and road speed

[0048] For a motor vehicle driving on the expressway, the camera on the expressway should capture the vehicle at continuous checkpoints, and obtain discrete vehicle position data at different time points (p 0 ,p 1 ,p 2 ,···,p t ), so that the average velocity (v 0 ,v 1 ,v 2 ,···,v t-1 ),in However, affected by uncontrollable factors such as equipment and weather conditions in real situations, the recognition of license plates is not always correct, which may cause data d...

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Abstract

The invention discloses a high-speed traffic flow prediction method based on multi-modal fusion and a graph attention mechanism. Short-time prediction is carried out on the traffic flow of a target checkpoint road segment in a future time period through fusion of multi-modal data of a highway, including portal frame checkpoint road speed data, toll station access flow data and road segment lane information and the like. According to the method, time and space characteristics in a traffic flow model are comprehensively considered; a plurality of factors are fused in a coding mode, a model forspeed prediction is constructed by integrating methods such as a graph attention mechanism and cavity convolution, a model is constructed by applying measured data of a certain expressway section andverified, and a prediction result and a measured result have a better effect by being compared with a vehicle speed prediction method provided by the research.

Description

technical field [0001] The invention belongs to the technical field of traffic information, and in particular relates to a high-speed traffic flow prediction method based on multi-modal fusion and graph attention mechanism. Background technique [0002] With the help of traffic big data fusion technology to professionally process massive data, it can realize the refined evaluation of the road network, restore the real operating status, dig out more potential value through in-depth processing, realize the value-added of data and provide a basis for decision-making. Provide support; through historical traffic information, real-time monitoring of traffic information and effective prediction of future traffic information, supplemented by reasonable inducing measures, it is expected to alleviate the problem of low traffic efficiency in the current road network. [0003] At present, the road traffic capacity of expressways usually stays in qualitative evaluation and subjective jud...

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Application Information

Patent Timeline
14 Aug 2020
Publication
CN111540199A
IPC
G08G1/01; G08G1/017; G08G1/052; G08G1/065; G06Q10/04; G06Q50/30; G06N3/04; G06N3/08
CPC
G08G1/0125; G08G1/0129; G08G1/0137; G08G1/052; G08G1/065; G08G1/017; G06Q10/04; G06N3/08
Inventors
阮涛; 吴德兴