Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network
Authors
Keywords
-
Journal
ISPRS International Journal of Geo-Information
Volume 12, Issue 1, Pages 25
Publisher
MDPI AG
Online
2023-01-17
DOI
10.3390/ijgi12010025
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Short-term forecasting of origin-destination matrix in transit system via a deep learning approach
- (2022) Yuxin He et al. Transportmetrica A-Transport Science
- Evaluation and Scale Forecast of Underground Space Resources of Historical and Cultural Cities in China
- (2022) Jizhong Shao et al. ISPRS International Journal of Geo-Information
- Analysis of the Characteristics and Spatial Pattern of the Catering Industry in the Four Central Cities of the Yangtze River Delta
- (2022) Weiwu Wang et al. ISPRS International Journal of Geo-Information
- Metro systems and urban development: Impacts and implications
- (2022) Dong Lin et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Stochastic ground motion simulation and seismic damage performance assessment of a 3-D subway station structure based on stochastic dynamic and probabilistic analysis
- (2022) Rui Pang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Vulnerability Analysis of Geographical Railway Network under Geological Hazard in China
- (2022) Lingzhi Yin et al. ISPRS International Journal of Geo-Information
- A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction
- (2022) Zhihao Zhang et al. ISPRS International Journal of Geo-Information
- Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
- (2022) Yuxin He et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Understanding the Dynamic Mechanism of Urban Land Use and Population Distribution Evolution from a Microscopic Perspective
- (2022) Min Jin et al. ISPRS International Journal of Geo-Information
- Short-term passenger flow forecast for urban rail transit based on multi-source data
- (2021) Wei Li et al. EURASIP Journal on Wireless Communications and Networking
- A Deep Learning Model with Conv-LSTM Networks for Subway Passenger Congestion Delay Prediction
- (2021) Wei Chen et al. JOURNAL OF ADVANCED TRANSPORTATION
- Subway passenger flow analysis and management optimization model based on AFC data
- (2021) Jie Sun et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Decision Making in the 4th Dimension—Exploring Use Cases and Technical Options for the Integration of 4D BIM and GIS during Construction
- (2021) Alyssa Huaqiu Liu et al. ISPRS International Journal of Geo-Information
- A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
- (2021) Yong Han et al. ISPRS International Journal of Geo-Information
- Planning and application of underground logistics systems in new cities and districts in China
- (2021) Dongjun Guo et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
- (2021) Jiandong Bai et al. ISPRS International Journal of Geo-Information
- Underground space utilisation and new town development: Experiences, lessons and implications
- (2021) Dong Lin et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Visualization and spatial analysis of socio-environmental externalities of urban underground space use: Part 1 positive externalities
- (2021) Yong-Kang Qiao et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit
- (2020) Jinlei Zhang et al. IET Intelligent Transport Systems
- Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data
- (2020) Xin Yang et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Emergency evacuation risk assessment and mitigation strategy for a toxic gas leak in an underground space: The case of a subway station in Guangzhou, China
- (2020) Jian Rui Feng et al. SAFETY SCIENCE
- Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS
- (2020) Yun Jing et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit
- (2020) Jinlei Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- DeepPF: A deep learning based architecture for metro passenger flow prediction
- (2019) Yang Liu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Predicting Station-Level Short-Term Passenger Flow in a Citywide Metro Network Using Spatiotemporal Graph Convolutional Neural Networks
- (2019) Han et al. ISPRS International Journal of Geo-Information
- Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
- (2019) Dan Yang et al. IET Intelligent Transport Systems
- Temporal pattern attention for multivariate time series forecasting
- (2019) Shun-Yao Shih et al. MACHINE LEARNING
- Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network
- (2019) Yong Han et al. ISPRS International Journal of Geo-Information
- Bus travel time prediction based on deep belief network with back-propagation
- (2019) Chao Chen et al. NEURAL COMPUTING & APPLICATIONS
- Subway Passenger Flow Prediction for Special Events Using Smart Card Data
- (2019) Enhui Chen et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Urban Rail Transit Passenger Flow Forecasting Method Based on the Coupling of Artificial Fish Swarm and Improved Particle Swarm Optimization Algorithms
- (2019) Yuan Yuan et al. Sustainability
- Bilateral LSTM: A Two-Dimensional Long Short-Term Memory Model With Multiply Memory Units for Short-Term Cycle Time Forecasting in Re-entrant Manufacturing Systems
- (2018) Junliang Wang et al. IEEE Transactions on Industrial Informatics
- Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model
- (2017) Linchao Li et al. KSCE Journal of Civil Engineering
- Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
- (2017) Jintao Ke et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Underground space as an urban indicator: Measuring use of subsurface
- (2016) Nikolai Bobylev TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
- (2015) Lin Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China
- (2014) Xiushan Jiang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Damp trend Grey Model forecasting method for airline industry
- (2013) Rafael Bernardo Carmona Benítez et al. EXPERT SYSTEMS WITH APPLICATIONS
- Interpretation of commonly used statistical regression models
- (2013) Jessica Kasza et al. RESPIROLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started