Connected Vehicles Traffic Prediction: Emerging Gnn Methods
暫譯: 連接車輛交通預測：新興的 GNN 方法
Shi, Quan, Bao, Yinxin, Shen, Qinqin
- 出版商: Springer
- 出版日期: 2025-04-30
- 售價: $6,040
- 貴賓價: 9.5 折 $5,738
- 語言: 英文
- 頁數: 180
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031845471
- ISBN-13: 9783031845475
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相關主題
商品描述
This book delves into the problems and challenges faced in achieving improved performance in connected vehicles traffic flow prediction in intelligent connected transportation systems and provides an in-depth analysis of spatial-temporal feature extraction, global local spatial feature extraction, and fusion of external factors. The book is divided into ten chapters, and the introductory section presents the history of the development of artificial intelligence and graph neural networks in the context of connected vehicles, related work on prediction of connected traffic, and preliminary knowledge. Chapter 2 to 9 present eight prediction methods in the context of connected traffic, respectively. Each section includes an introduction to the problem definition, model architecture, experimental setup, and discussion of results, as well as references. The last section summarizes the contributions of the book and future challenges.
商品描述(中文翻譯)
本書深入探討在智慧連結交通系統中，實現連結車輛交通流量預測性能提升所面臨的問題與挑戰，並對空間-時間特徵提取、全局與局部空間特徵提取以及外部因素的融合進行深入分析。本書共分為十個章節，導言部分介紹了在連結車輛背景下人工智慧與圖神經網路的發展歷史、連結交通預測的相關研究以及初步知識。第二至第九章分別介紹了八種連結交通預測方法。每個章節包括問題定義的介紹、模型架構、實驗設置、結果討論以及參考文獻。最後一部分總結了本書的貢獻及未來挑戰。
作者簡介
Prof. Quan Shi received the M.S. and Ph.D. degrees in Computer Science Technology and Management Information Systems from the University of Shanghai for Science and Technology, Shanghai, China, in 2005 and 2011, respectively. He is currently a Professor with the School of Transportation and Civil Engineering, Nantong University. His research interests include the Intelligent Information Processing, Deep Learning, Data Mining, Traffic Information and Control, and Big Data Techniques for Computer.
Dr. Yinxin Bao is a Ph.D. student majoring in Information and Communication Engineering in 2021 at the School of Information Science and Technology, Nantong University, with research interests in Intelligent Transportation, Deep Learning, Data Mining, and computer vision. He is currently serving as a reviewer for SCI journals Engineering Applications of Artificial Intelligence and Alexandria Engineering Journal.
Assoc. Prof. Qinqin Shen received the Ph.D. degree from the School of Rail Transportation, Soochow University, in 2021. She is currently an assistant professor at the School of Transportation and Civil Engineering, Nantong University. She has published over ten articles in high-level journals, including Computational and Applied Mathematics, Computers and Mathematics with Applications, and Numerical Algorithms. Her research interests include Intelligence Transportation and Numerical Computation.
Prof. Zhenquan Shi received the master's degree from the School of Computer Science and Technology, University of Shanghai for Science and Technology, in 2009, and the Ph.D. degree in Management Information Systems from the School of Management, University of Shanghai for Science and Technology, in 2021. He is currently working with the School of Transportation and Civil Engineering, Nantong University. He has published eight relevant articles in high-level journals. His main research interests include Intelligent Transportation and Deep Learning.
Assoc. Prof. Ruifeng Gao received the B.S. degree from Central South University, Changsha, China, in 2009, and the M.S. and Ph.D. degrees from Nantong University, Nantong, China, in 2013 and 2019, respectively. From 2019 to 2020, he was a Visiting Scholar with the Singapore University of Technology and Design. He is currently an Associate Professor with the School of Transportation and Civil Engineering, Nantong University. His main research interests include Maritime Communication Networks, Resource Management, and Machine Learning.
作者簡介(中文翻譯)
教授施全於2005年和2011年分別在中國上海科技大學獲得計算機科學技術及管理信息系統的碩士和博士學位。目前，他是南通大學交通與土木工程學院的教授。他的研究興趣包括智能信息處理、深度學習、數據挖掘、交通信息與控制，以及計算機的大數據技術。
博士生包寅欣於2021年在南通大學信息科學與技術學院攻讀信息與通信工程博士學位，研究興趣包括智能交通、深度學習、數據挖掘和計算機視覺。他目前擔任《工程應用人工智慧》和《亞歷山大工程期刊》的審稿人。
副教授沈琴琴於2021年在蘇州大學鐵道交通學院獲得博士學位。她目前是南通大學交通與土木工程學院的助理教授。她在高水平期刊上發表了十多篇文章，包括《計算與應用數學》、《計算機與應用數學》和《數值算法》。她的研究興趣包括智能交通和數值計算。
教授施振全於2009年在上海科技大學計算機科學與技術學院獲得碩士學位，並於2021年在上海科技大學管理學院獲得管理信息系統博士學位。目前，他在南通大學交通與土木工程學院工作。他在高水平期刊上發表了八篇相關文章。他的主要研究興趣包括智能交通和深度學習。
副教授高瑞峰於2009年在中國長沙的中南大學獲得學士學位，並於2013年和2019年在南通大學獲得碩士和博士學位。2019年至2020年，他曾在新加坡科技設計大學擔任訪問學者。目前，他是南通大學交通與土木工程學院的副教授。他的主要研究興趣包括海事通信網絡、資源管理和機器學習。
