Multiobjective Railway Alignment Optimization Using Ballastless Track and Reduced Cross-Section in Tunnel

Author:

Biancardo Salvatore AntonioORCID,Avella Francesco,Di Lisa Ernesto,Chen XinqiangORCID,Abbondati FrancescoORCID,Dell’Acqua GianlucaORCID

Abstract

The increasing need for railway planning and design to connect growing cities in inland mountainous areas has pushed engineering efforts toward the research of railway tracks that must comply with more restrictive constraints. In this study, a multiobjective alignment optimization (HAO), commonly used for highway projects, was carried out to identify a better solution for constructing a high-speed railway track considering technical and economic feasibilities. Then, two different and innovative scenarios were investigated: an unconventional ballastless superstructure, which is more environment-friendly than a gravel superstructure, and a reduced cross-section in a tunnel, which enables a slower design speed and then, less restrictive geometric constraints and earthmoving. The results showed that the first solution obtained a better performance with a slight increase in cost. Moreover, both scenarios improved the preliminary alignment optimization, reducing the overall cost by 11% for the first scenario and 20% for the second one.

Funder

Università degli Studi di Napoli Federico II

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference50 articles.

1. Railway-BIM: Analytical review, data standard and overall perspective;Dell’Acqua;Ing. Ferrov.,2018

2. BIM parametric modelling of a railway underpass;Abbondati;Ing. Ferrov.,2020

3. High-Speed Rail Track Design Using GIS And Multi-Criteria Analysis

4. Optimizing Design of Highway Horizontal Alignments: New Substantive Safety Approach

5. Preliminary Highway Design with Genetic Algorithms and Geographic Information Systems

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