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Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Points of Interest | IEEE Journals & Magazine | IEEE Xplore

Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Points of Interest


TGALSTM Model: Urban Rail Transit Passenger Flow Prediction Integrating POI Information

Abstract:

In the rapidly evolving landscape of smart transportation, the passenger volume in urban rail transit consistently demonstrates an upward trajectory. In this context, pre...Show More

Abstract:

In the rapidly evolving landscape of smart transportation, the passenger volume in urban rail transit consistently demonstrates an upward trajectory. In this context, precise and scientifically grounded short-term passenger flow prediction methods are essential for optimizing operational scheduling and ensuring safety in urban rail transit. Consequently, this paper introduces Temporal Graph Attention Long Short-Term Memory (TGALSTM), a spatiotemporal integrated prediction network model that incorporates the surrounding environment of the station. Initially, the paper enhanced the Temporal Convolutional Network (TCN) model to capture temporal features more accurately. Subsequently, the paper utilizes the Graph Attention Network (GAT) network module specifically to extract the topological structure and surrounding environmental features of the station. Lastly, the prediction task is accomplished by weighted fusion of various features, inputting them into the Attention Long Short-Term Memory (LSTM) network. Experiments were conducted on two authentic datasets, revealing that the TGALSTM model outperforms the baseline model in both single-step and double-step predictions, showcasing the model’s exceptional performance and robustness. This research offers a robust method and support to enhance the operational efficiency and passenger flow management of urban rail transit systems.
TGALSTM Model: Urban Rail Transit Passenger Flow Prediction Integrating POI Information
Published in: IEEE Access ( Volume: 12)
Page(s): 95196 - 95208
Date of Publication: 10 July 2024
Electronic ISSN: 2169-3536

Funding Agency:

Author image of Jie Cheng
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jie Cheng received the bachelor’s degree from Nanjing University of Information Science and Technology, in 2022. He is currently pursuing the master’s degree with the School of Electronic and Information Engineering. His research interest includes the prediction of passenger flow in rail transit.
Jie Cheng received the bachelor’s degree from Nanjing University of Information Science and Technology, in 2022. He is currently pursuing the master’s degree with the School of Electronic and Information Engineering. His research interest includes the prediction of passenger flow in rail transit.View more
Author image of Guangjie Liu
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Guangjie Liu received the B.Sc. degree in information engineering and the Ph.D. degree in control science and engineering from Nanjing University of Science and Technology, China, in 2002 and 2007, respectively. Since 2006, he has been a Faculty Member with the School of Automation, Nanjing University of Science and Technology. He was with the University of California at Davis, as a Visiting Scholar, from June 2016 to Jul...Show More
Guangjie Liu received the B.Sc. degree in information engineering and the Ph.D. degree in control science and engineering from Nanjing University of Science and Technology, China, in 2002 and 2007, respectively. Since 2006, he has been a Faculty Member with the School of Automation, Nanjing University of Science and Technology. He was with the University of California at Davis, as a Visiting Scholar, from June 2016 to Jul...View more
Author image of Shen Gao
Nanjing Panda Information Industry Group Company Ltd., Nanjing, China
Shen Gao received the master’s degree in computer applications from Guilin University of Electronic Technology, in 2010. He is currently a Senior Engineer and an off-campus Supervisor with Nanjing University of Science and Technology, having long been engaged in research and development and management work in modern digital cities and urban rail transit. He is also the Chief Engineer of Nanjing Panda Information Industry ...Show More
Shen Gao received the master’s degree in computer applications from Guilin University of Electronic Technology, in 2010. He is currently a Senior Engineer and an off-campus Supervisor with Nanjing University of Science and Technology, having long been engaged in research and development and management work in modern digital cities and urban rail transit. He is also the Chief Engineer of Nanjing Panda Information Industry ...View more
Author image of Ahmed Raza
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Ahmed Raza received the B.E. degree in electrical engineering and automation from Bohai University, China, in 2017, and the M.E. degree in intelligent manufacturing and control engineering from Zhejiang University of Science and Technology, China, in 2020. He is currently pursuing the Ph.D. degree in information and communication engineering with the School of Electronics and Information Engineering, Nanjing University of...Show More
Ahmed Raza received the B.E. degree in electrical engineering and automation from Bohai University, China, in 2017, and the M.E. degree in intelligent manufacturing and control engineering from Zhejiang University of Science and Technology, China, in 2020. He is currently pursuing the Ph.D. degree in information and communication engineering with the School of Electronics and Information Engineering, Nanjing University of...View more
Author image of Jiming Li
Nanjing Metro Operation Company Ltd., Nanjing, China
Jiming Li received the bachelor’s degree in computer science and technology from Sichuan Agricultural University, in 2014. He is currently a Senior Engineer with Nanjing Metro Operation Company Ltd., specializing in the management of subway automatic ticketing and clearing systems, where he is also the Chief of the Technical Equipment Department, Ticketing Department.
Jiming Li received the bachelor’s degree in computer science and technology from Sichuan Agricultural University, in 2014. He is currently a Senior Engineer with Nanjing Metro Operation Company Ltd., specializing in the management of subway automatic ticketing and clearing systems, where he is also the Chief of the Technical Equipment Department, Ticketing Department.View more
Author image of Wu Juan
Nanjing Metro Construction Company Ltd., Nanjing, Jiangsu, China
Wu Juan received the master’s degree in control theory and control engineering from Nanjing University of Science and Technology, in 2004. She has been extensively involved in the project management of construction and development of automatic ticketing systems for rail transit. She is currently the Senior Supervisor of the Station Equipment Department, Nanjing Metro Construction Company Ltd.
Wu Juan received the master’s degree in control theory and control engineering from Nanjing University of Science and Technology, in 2004. She has been extensively involved in the project management of construction and development of automatic ticketing systems for rail transit. She is currently the Senior Supervisor of the Station Equipment Department, Nanjing Metro Construction Company Ltd.View more

Author image of Jie Cheng
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jie Cheng received the bachelor’s degree from Nanjing University of Information Science and Technology, in 2022. He is currently pursuing the master’s degree with the School of Electronic and Information Engineering. His research interest includes the prediction of passenger flow in rail transit.
Jie Cheng received the bachelor’s degree from Nanjing University of Information Science and Technology, in 2022. He is currently pursuing the master’s degree with the School of Electronic and Information Engineering. His research interest includes the prediction of passenger flow in rail transit.View more
Author image of Guangjie Liu
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Guangjie Liu received the B.Sc. degree in information engineering and the Ph.D. degree in control science and engineering from Nanjing University of Science and Technology, China, in 2002 and 2007, respectively. Since 2006, he has been a Faculty Member with the School of Automation, Nanjing University of Science and Technology. He was with the University of California at Davis, as a Visiting Scholar, from June 2016 to July 2017. He is currently a Professor with the School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, China. His research interests include network and communication security. He has published more than 100 articles in these areas.
Guangjie Liu received the B.Sc. degree in information engineering and the Ph.D. degree in control science and engineering from Nanjing University of Science and Technology, China, in 2002 and 2007, respectively. Since 2006, he has been a Faculty Member with the School of Automation, Nanjing University of Science and Technology. He was with the University of California at Davis, as a Visiting Scholar, from June 2016 to July 2017. He is currently a Professor with the School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, China. His research interests include network and communication security. He has published more than 100 articles in these areas.View more
Author image of Shen Gao
Nanjing Panda Information Industry Group Company Ltd., Nanjing, China
Shen Gao received the master’s degree in computer applications from Guilin University of Electronic Technology, in 2010. He is currently a Senior Engineer and an off-campus Supervisor with Nanjing University of Science and Technology, having long been engaged in research and development and management work in modern digital cities and urban rail transit. He is also the Chief Engineer of Nanjing Panda Information Industry Company Ltd., and the General Manager of the Digital City Research and Development Center. He is a member of the Communist Party of China.
Shen Gao received the master’s degree in computer applications from Guilin University of Electronic Technology, in 2010. He is currently a Senior Engineer and an off-campus Supervisor with Nanjing University of Science and Technology, having long been engaged in research and development and management work in modern digital cities and urban rail transit. He is also the Chief Engineer of Nanjing Panda Information Industry Company Ltd., and the General Manager of the Digital City Research and Development Center. He is a member of the Communist Party of China.View more
Author image of Ahmed Raza
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Ahmed Raza received the B.E. degree in electrical engineering and automation from Bohai University, China, in 2017, and the M.E. degree in intelligent manufacturing and control engineering from Zhejiang University of Science and Technology, China, in 2020. He is currently pursuing the Ph.D. degree in information and communication engineering with the School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, China. His research interests include passenger flow awareness and utilization technology (passenger flow sensing and application), smart traffic technology, and adversarial machine learning.
Ahmed Raza received the B.E. degree in electrical engineering and automation from Bohai University, China, in 2017, and the M.E. degree in intelligent manufacturing and control engineering from Zhejiang University of Science and Technology, China, in 2020. He is currently pursuing the Ph.D. degree in information and communication engineering with the School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, China. His research interests include passenger flow awareness and utilization technology (passenger flow sensing and application), smart traffic technology, and adversarial machine learning.View more
Author image of Jiming Li
Nanjing Metro Operation Company Ltd., Nanjing, China
Jiming Li received the bachelor’s degree in computer science and technology from Sichuan Agricultural University, in 2014. He is currently a Senior Engineer with Nanjing Metro Operation Company Ltd., specializing in the management of subway automatic ticketing and clearing systems, where he is also the Chief of the Technical Equipment Department, Ticketing Department.
Jiming Li received the bachelor’s degree in computer science and technology from Sichuan Agricultural University, in 2014. He is currently a Senior Engineer with Nanjing Metro Operation Company Ltd., specializing in the management of subway automatic ticketing and clearing systems, where he is also the Chief of the Technical Equipment Department, Ticketing Department.View more
Author image of Wu Juan
Nanjing Metro Construction Company Ltd., Nanjing, Jiangsu, China
Wu Juan received the master’s degree in control theory and control engineering from Nanjing University of Science and Technology, in 2004. She has been extensively involved in the project management of construction and development of automatic ticketing systems for rail transit. She is currently the Senior Supervisor of the Station Equipment Department, Nanjing Metro Construction Company Ltd.
Wu Juan received the master’s degree in control theory and control engineering from Nanjing University of Science and Technology, in 2004. She has been extensively involved in the project management of construction and development of automatic ticketing systems for rail transit. She is currently the Senior Supervisor of the Station Equipment Department, Nanjing Metro Construction Company Ltd.View more

References

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