Intelligent Railway Alignment Design

di Hao Pu (Autore)

Paul Schonfeld (Autore)

Wei Li (Autore)

Elsevier Science Publishing Co Inc, 2026

Intelligent Railway Alignment Design offers a comprehensive exploration of intelligent railway alignment optimization. The book considers a variety of critical topics, starting with the optimal selection of key technical standards for railway design and then introduces the comprehensive geographic information model. The methods for evaluating the suitability of the railway alignment based on the comprehensive geographic information model are discussed, together with economic optimization models aimed at cost-effective railway alignment design. In addition, the book considers optimization models for managing risks related to typical geological hazards and minimizing environmental impacts. Intelligent search algorithms for solving railway alignment optimization models are explained in detail, including corridor searching algorithms and 3D alignment searching algorithms. Additionally, the book explores concurrent optimization strategies for coordinating railway alignments with stations and large temporary engineering projects. Finally, it introduces intelligent models and methods for reconstructing and optimizing existing railway alignments, ensuring that both new and updated railways operate efficiently and sustainably.

• Autore: Hao Pu, Paul Schonfeld, Wei Li
• Editore: Elsevier Science Publishing Co Inc
• Anno: 2026
• Rilegatura: Paperback / softback
• Pagine: 400 p.
• Dimensioni: 229 x 152 mm
• Peso: 450 gr.
• EAN: 9780443459238

Testo in English