Short-term Airline Passenger Flow Prediction Based on the Attention Mechanism and Gated Recurrent Unit Model

Yu, Jiangni

doi:10.1007/s12559-021-09991-x

Cited by 13 publications

(10 citation statements)

References 16 publications

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“…Many nature reserves are located in remote and economically backward areas, and residents living around the reserves still need to rely on traditional production methods such as hunting, planting, and fishing to make a living. Therefore, China's nature reserves still face many problems in the development process, among which the most prominent problem is how to deal with the contradiction between protection and development [ 8 ]. Wang, C. and others found that in the 1990s, with the proposal of the concept of ecotourism, many scholars at home and abroad focused on the development of ecotourism in nature reserves to solve the contradiction between “protection and development” of nature reserves and unanimously agreed that the development of ecotourism is one of the important ways to realize the sustainable development of nature reserves [ 9 ].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment

Rao

Xiaofen

2022

Journal of Environmental and Public Health

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In order to solve the problem of resource ecological compensation, this paper proposed a model of resource ecological compensation mechanism based on a rural leisure sports environment. The model is carried out in many places in China. The survey data involves 31 provinces, 10 years, and 43 indicators, with a total of 43 × 10 × 31 = 13,330 data. The preliminary basis of mechanism construction is summarized from four aspects. Finally, make full use of modern information technology to improve the network platform of the compensation mechanism, promote the efficient allocation and comprehensive utilization of ecotourism resources, and lay a solid foundation for establishing a reasonable and perfect resource ecological compensation mechanism and ensuring the long-term and stable operation of the mechanism. Through the experiment, it is found that the timely and effective publication of information can eliminate the inner estrangement between the two sides, so as to make the behavior of both sides more rational. A special information feedback department is established to deal with the opinions put forward by all compensation parties in tourism development, extract effective information, summarize and publish reasonable guidance information, and guide the compensation of both sides to an ideal balance through the feedback of this information. The effectiveness of the experiment is verified.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment

Rao

Xiaofen

2022

Journal of Environmental and Public Health

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“…Deep-learning passenger flow prediction models are mostly used for short-term passenger flow prediction. More representative models include LSTM [28,29], GRU [30,31], RNN [32], GCN [33][34][35], and other deep learning models. Wang et al [36] proposed a spatio-temporal hypergraph convolutional model for metro passenger flow prediction.…”

Section: Literature Reviewmentioning

confidence: 99%

SAD-ARGRU: A Metro Passenger Flow Prediction Model for Graph Residual Gated Recurrent Networks

Zhang,

Chen,

Zhang

et al. 2024

Mathematics

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This paper proposes a graph residual gated recurrent network subway passenger flow prediction model considering the flat-peak characteristics, which firstly proposes the use of an adaptive density clustering method, which is capable of dynamically dividing the flat-peak time period of subway passenger flow. Secondly, this paper proposes graph residual gated recurrent network, which uses a graph convolutional network fused with a residual network and combined with a gated recurrent network, to simultaneously learn the temporal and spatial characteristics of passenger flow. Finally, this paper proposes to use the spatial attention mechanism to learn the spatial features around the subway stations, construct the spatial local feature components, and fully learn the spatial features around the stations to realize the local quantization of the spatial features around the subway stations. The experimental results show that the graph residual gated recurrent network considering the flat-peak characteristics can effectively improve the prediction performance of the model, and the method proposed in this paper has the highest prediction accuracy when compared with the traditional prediction model.

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“…Second, the output of the CNN layer is fed to the first LSTM layer, which is responsible for capturing the correlation between variables. Finally, a self-learning function is introduced through the attention layer to dynamically assign weights to the outputs of LSTM units at different locations, and the hidden outputs are weighted and summed to obtain multidimensional sequence features [10] . Hereinafter referred to as the CNN-LSTN-ATT model, the framework of this model is shown in Figure 2.…”

Section: Model Frameworkmentioning

confidence: 99%

A short-term highway traffic flow forecasting model based on CNN-LSTM with an attention mechanism

Deng

Sang

2023

J. Phys.: Conf. Ser.

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Domestic and foreign scholars have researched traffic flow forecasting and established mature systems; however, these systems are mainly based on normal weather. The influence of weather on traffic flow forecasting is rarely considered in existing studies. Therefore, the correlation between meteorology and traffic flow is analyzed, and an attention mechanism is introduced to improve the ability of the model to extract characteristics of time series data. The results show that the model proposed in this paper is better than other models and the traffic flow forecast using meteorological data is more accurate when an attention mechanism is added.

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Short-term Airline Passenger Flow Prediction Based on the Attention Mechanism and Gated Recurrent Unit Model

Cited by 13 publications

References 16 publications

[Retracted] Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment

[Retracted] Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment

SAD-ARGRU: A Metro Passenger Flow Prediction Model for Graph Residual Gated Recurrent Networks

A short-term highway traffic flow forecasting model based on CNN-LSTM with an attention mechanism

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