東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Urban railway alignment optimization...

Gao, Yan.

FindBook

Google Book

Amazon

博客來

Urban railway alignment optimization = theory and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Urban railway alignment optimization/ by Yan Gao, Qing He.
其他題名:	theory and practice /
作者:	Gao, Yan.
其他作者:	He, Qing.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxi, 201 p. :ill., digital ;24 cm.
內容註:	Chapter 1 Introduction -- Chapter 2 Objective Functions and Constraints in Urban Rail Alignment -- Chapter 3 Automatic Calculation of House Demolition -- Chapter 4 Boundary Determination of Existing Infrastructure -- Chapter 5 Optimization for Railway Alignment -- Chapter 6 CAD Automatic Optimization Plugin -- Chapter 7 Conclusions and Future Work -- Appendix.
Contained By:	Springer Nature eBook
標題:	Urban transportation. -
電子資源:	https://doi.org/10.1007/978-981-95-0776-4
ISBN:	9789819507764

Urban railway alignment optimization = theory and practice /
Gao, Yan.

Urban railway alignment optimizationtheory and practice /[electronic resource] :by Yan Gao, Qing He. - Singapore :Springer Nature Singapore :2025. - xxi, 201 p. :ill., digital ;24 cm.

Chapter 1 Introduction -- Chapter 2 Objective Functions and Constraints in Urban Rail Alignment -- Chapter 3 Automatic Calculation of House Demolition -- Chapter 4 Boundary Determination of Existing Infrastructure -- Chapter 5 Optimization for Railway Alignment -- Chapter 6 CAD Automatic Optimization Plugin -- Chapter 7 Conclusions and Future Work -- Appendix.

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.

ISBN: 9789819507764

Standard No.: 10.1007/978-981-95-0776-4doiSubjects--Topical Terms:

767396
Urban transportation.

LC Class. No.: HE305

Dewey Class. No.: 388.42

Urban railway alignment optimization = theory and practice /
LDR:03799nmm a2200325 a 4500 001 2414224
003 DE-He213
005 20250821130552.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819507764 $q (electronic bk.)
020 $a 9789819507757 $q (paper)
024 7 $a 10.1007/978-981-95-0776-4 $2 doi
035 $a 978-981-95-0776-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HE305
072 7 $a TNH $2 bicssc
072 7 $a TEC009140 $2 bisacsh
072 7 $a TNH $2 thema
082 0 4 $a 388.42 $2 23
090 $a HE305 $b .G211 2025
100 1 $a Gao, Yan. $3 1262831
245 1 0 $a Urban railway alignment optimization $h [electronic resource] : $b theory and practice / $c by Yan Gao, Qing He.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxi, 201 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1 Introduction -- Chapter 2 Objective Functions and Constraints in Urban Rail Alignment -- Chapter 3 Automatic Calculation of House Demolition -- Chapter 4 Boundary Determination of Existing Infrastructure -- Chapter 5 Optimization for Railway Alignment -- Chapter 6 CAD Automatic Optimization Plugin -- Chapter 7 Conclusions and Future Work -- Appendix.
520 $a 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.
650 0 $a Urban transportation. $3 767396
650 0 $a Railroads. $2 fast $3 2076389
650 1 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Solid Construction. $3 2068352
650 2 4 $a Optimization. $3 891104
700 1 $a He, Qing. $3 838551
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-95-0776-4
950 $a Engineering (SpringerNature-11647)