Technical Papers
Sep 7, 2020

Underground Metro Interstation Horizontal-Alignment Optimization with an Augmented Rapidly Exploring Random-Tree Connect Algorithm

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 11

Abstract

The design of an underground metro alignment in an urban area is complex and challenging. The metro alignment constantly invades districts with high-density buildings and specially planned districts, which results in large additional expenses due to reconstruction, land requisition, demolition, vibration absorption, and environmental protection. This paper presents a method for the optimization of the horizontal alignment between metro stations to minimize the overall cost. The proposed method includes three steps: (1) low-cost path search, (2) initial horizontal alignment generation, and (3) horizontal alignment optimization. First, an augmented rapidly exploring random-tree connect (RRT-connect) algorithm is developed to search for a low-cost path, in which the buffer zone of the low-cost path defines the corridor constraint of the horizontal alignment optimization. Subsequently, based on the low-cost path, an initial horizontal alignment is generated that determines the number of design variables, i.e., intersection points. Next, within the corridor constraint, the method optimizes the intersection point coordinates and curve radius on the initial horizontal alignment using a differential evolution (DE) algorithm. A real-world metro line was studied to verify the effectiveness of the proposed optimization approach.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may be provided only with restrictions. The station information and land plan map of Line 11 are anonymized data. The unit costs in Table 3 are suitable only for the gross budget estimate. The topographic map, Line11 horizontal alignment coordinates, and unit cost of the actual subitems are proprietary. Open-source osgEarth version 2.10 and GEOS version 3.7.3 can be downloaded from the corresponding official websites.

Acknowledgments

The authors express their gratitude to Jason Beverage for GIS support with osgEarth and to the GEOS steering committee for providing spatial analysis support. The China Railway Eryuan Engineering Group is acknowledged for providing detailed project data of the Metro Line 11 in Foshan city. This project is partially supported by National Natural Science Foundation of China award No. 51878576.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 11November 2020

History

Received: Feb 13, 2020
Accepted: Jun 26, 2020
Published online: Sep 7, 2020
Published in print: Nov 1, 2020
Discussion open until: Feb 7, 2021

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Authors

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Dongying Yang [email protected]
Ph.D. Student, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China; Key Laboratory of High-Speed Railway Engineering of the Ministry of Education, Southwest Jiaotong Univ., Chengdu 610031, China. Email: [email protected]
Morton C. Frank Associate Professor, Dept. of Industrial and Systems Engineering and Dept. of Civil, Structural and Environmental Engineering, Univ. at Buffalo, State University of New York, Buffalo, NY 14620 (corresponding author). ORCID: https://orcid.org/0000-0003-2596-4984. Email: [email protected]
Professor, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China; Key Laboratory of High-Speed Railway Engineering of the Ministry of Education, Southwest Jiaotong Univ., Chengdu 610031, China. Email: [email protected]

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