Urban Railway Alignment Optimization: Theory and Practice
暫譯: 城市鐵路對齊優化：理論與實踐
Gao, Yan, He, Qing
- 出版商: Springer
- 出版日期: 2025-08-22
- 售價: $7,460
- 貴賓價: 9.5 折 $7,087
- 語言: 英文
- 頁數: 201
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819507758
- ISBN-13: 9789819507757
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相關主題
商品描述
This book falls within the field of urban transportation planning and design, with a particular focus on urban railway alignment optimization. It delves into the background, challenges, and objective functions and constraints (including cost, environmental impact, and risk) of urban railway alignment design. Furthermore, it presents system reliability modeling approaches for assessing the reliability of parallel railway lines. Additionally, the book emphasizes GIS-based methods for land use analysis and automatic demolition area calculation, as well as the Bayesian Sustainable Intelligent Framework for Enhancing Parallel Railway Reliability, which integrates system reliability analysis, the two-dimensional finite element method, and the Bayesian neural network surrogate model. Lastly, it covers the optimization of railway alignment using approximate dynamic programming, introducing a bi-objective approximate fine-grained optimization model that considers both construction cost and construction risk adjacent to existing operating railways.
This book encompasses not only the theoretical foundations of urban railway alignment optimization but also provide detailed case studies of practical applications. These methods and techniques are significant for enhancing the efficiency, sustainability, and economy of urban railway systems, making them highly valuable to professionals involved in urban transportation planning, design, and construction. Combining theoretical analysis with practical applications, it provides abundant illustrations and tables to elucidate complex concepts and methods, employs novel presentation styles, such as case studies to demonstrate the practical application of theories, and may include instructional elements like step-by-step guides or practical suggestions to help readers better understand and apply the knowledge.
By reading this book, readers can gain insights into the latest methods and techniques in urban railway alignment optimization and learn how to apply them in their work, thereby improving the overall performance and sustainability of urban railway systems. The primary target audience of this book is researchers, practitioners, and students involved in urban transportation planning, design, and construction. Whether for beginners seeking to delve into the field of urban railway alignment optimization or for professionals looking to update their knowledge base, this book is an invaluable resource.
商品描述(中文翻譯)
這本書屬於城市交通規劃與設計領域，特別專注於城市鐵路路線優化。它深入探討了城市鐵路路線設計的背景、挑戰，以及目標函數和約束條件（包括成本、環境影響和風險）。此外，書中還介紹了系統可靠性建模方法，用於評估平行鐵路線的可靠性。書中強調了基於地理資訊系統（GIS）的方法，用於土地使用分析和自動拆除區域計算，以及貝葉斯可持續智能框架，以增強平行鐵路的可靠性，該框架整合了系統可靠性分析、二維有限元素法和貝葉斯神經網絡替代模型。最後，書中涵蓋了使用近似動態規劃進行鐵路路線優化，介紹了一個雙目標近似細粒度優化模型，考慮到與現有運營鐵路相鄰的建設成本和建設風險。
這本書不僅涵蓋了城市鐵路路線優化的理論基礎，還提供了詳細的實際應用案例研究。這些方法和技術對於提高城市鐵路系統的效率、可持續性和經濟性具有重要意義，使其對於參與城市交通規劃、設計和建設的專業人士來說非常有價值。結合理論分析與實際應用，書中提供了豐富的插圖和表格，以闡明複雜的概念和方法，並採用新穎的呈現風格，例如案例研究來展示理論的實際應用，還可能包括指導性元素，如逐步指南或實用建議，以幫助讀者更好地理解和應用知識。
通過閱讀這本書，讀者可以深入了解城市鐵路路線優化的最新方法和技術，並學習如何在工作中應用這些方法，從而改善城市鐵路系統的整體性能和可持續性。這本書的主要目標讀者是參與城市交通規劃、設計和建設的研究人員、從業者和學生。無論是尋求深入了解城市鐵路路線優化領域的初學者，還是希望更新知識基礎的專業人士，這本書都是一個寶貴的資源。
作者簡介
Dr. Yan Gao is an Assistant Research in Southwest Jiaotong University. She holds a Ph.D. in Road and Railway Engineering from Southwest Jiaotong University (2020-2024), a Master's in Architectural and Civil Engineering from Hunan University (2010-2012), and a Bachelor's in Civil Engineering from the same institution (2006-2010). Prior to her academic career, she worked as an engineer at RoadDB Technology (2017-2020) and the Southwest Geotechnical & Design Institute of CNNC (2012-2017), focusing on transportation design and intelligent delivery systems.
Dr. Gao specializes in intelligent alignment planning for railways and highways. She has led the Sichuan Provincial Youth Science Fund project and contributed to multiple national and provincial research initiatives. Her work has been published in top-tier journals, including Sustainable Cities and Society, Automation in Construction, and Computer-Aided Civil and Infrastructure Engineering, with over 10 SCI-indexed papers. She holds 11 authorized patents and 2 software copyrights, reflecting her innovative contributions to infrastructure optimization and smart construction technologies.
Qing He (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Southwest Jiaotong University and the Ph.D. degree in systems and industrial engineering from The University of Arizona, in 2010. From 2010 to 2012, he was a Post-Doctoral Researcher at the IBM T. J. Watson Research Center. Dr. He has been an Assistant Professor of civil engineering with the University at Buffalo and an Associate Professor of industrial engineering with The State University of New York, since 2012. Dr He is a professor, Ph.D. supervisor and deputy director of the School of Civil Engineering at Southwest Jiaotong University, and deputy director of the Key Laboratory of High-speed Railway Line Engineering of the Ministry of Education. His main research direction is "Intelligent Railway Route Selection Design and Railway Operation and Maintenance based on Big Data". He serves as deputy editor-in-chief of "IEEE Transactions on Intelligent Transportation Systems", deputy editor-in-chief of "ASCE Journal of Transportation Engineering", and editor-in-chief of "Transportation Research Record", executive deputy editor-in-Chief and editorial director of "Intelligent Transportation Infrastructure". He has presided over a number of national projects, including the National Natural Science Foundation of China High-Speed Railway Basic Research Joint Fund Key Support Project and the Ministry of Science and Technology Key R&D Plan Project. He won the first prize of the 2022 China Railway Society Science and Technology Progress Award, the top 2% of the top scientists in the transportation discipline in 2024, and ranked 67th in the annual impact list of the transportation discipline in China. He has published more than 100 SCI papers, with more than 6,000 citations on Google Scholar.
作者簡介(中文翻譯)
楊高博士是西南交通大學的助理研究員。她擁有西南交通大學的道路與鐵路工程博士學位（2020-2024），湖南大學的建築與土木工程碩士學位（2010-2012），以及同一所學校的土木工程學士學位（2006-2010）。在學術生涯之前，她曾在RoadDB科技公司擔任工程師（2017-2020）以及中國核工業集團西南岩土與設計研究院工作（2012-2017），專注於交通設計和智能配送系統。
楊博士專注於鐵路和公路的智能對齊規劃。她主導了四川省青年科學基金項目，並參與了多個國家和省級研究計劃。她的研究成果發表在頂級期刊上，包括《可持續城市與社會》、《建築自動化》和《計算機輔助土木與基礎設施工程》，並擁有超過10篇SCI索引的論文。她擁有11項授權專利和2項軟體著作權，反映了她在基礎設施優化和智能建設技術方面的創新貢獻。
何青（IEEE會員）於2010年獲得西南交通大學的電氣工程學士和碩士學位，並在亞利桑那大學獲得系統與工業工程博士學位。2010年至2012年，他在IBM T. J. Watson研究中心擔任博士後研究員。自2012年以來，何博士一直擔任布法羅大學的土木工程助理教授和紐約州立大學的工業工程副教授。何博士是西南交通大學土木工程學院的教授、博士生導師及副院長，並擔任教育部高速鐵路線工程重點實驗室的副主任。他的主要研究方向是基於大數據的「智能鐵路路線選擇設計及鐵路運營與維護」。他擔任《IEEE智能交通系統學報》的副主編、《ASCE交通工程學報》的副主編，以及《交通研究紀錄》的主編，並擔任《智能交通基礎設施》的執行副主編和編輯主任。他主持了多個國家項目，包括中國國家自然科學基金高速鐵路基礎研究聯合基金重點支持項目和科技部重點研發計畫項目。他獲得了2022年中國鐵路學會科技進步獎的一等獎，2024年交通學科前2%的頂尖科學家，並在中國交通學科年度影響力榜單中排名第67位。他已發表超過100篇SCI論文，並在Google Scholar上獲得超過6000次引用。
