Optimizing Points of Intersection for Highway and Railway Alignment—Using Path Planner Method and Ant Algorithm-Based Approach

The essential decision factors that govern the design of highway and railway alignment are the number of intermediate points (PIs), their locations, and the circular curve radius. The development of optimal alignment involves many challenges, such as evaluating an infinite number of potential solutions, complex terrain, environmental conditions, entwined complicated cost, and design constraints. The alignment development process is primarily manual, highly expensive, and time consuming and is also not practically feasible. So, many computer-aided optimization methods were developed to address the alignment optimization problem. However, most of these methods predefine the value of either one or more of these factors; thus, this approximation of values limits these models from obtaining an optimal solution. This paper proposes a heuristic-based path planner method (PPM) to address such issues. The model includes (a) exploration of non-convex high-dimensional space for obtaining a least-cost horizontal alignment, (b) sampling technique, along with PPM, is used to generate potential PIs and develop feasible alignments by finding a suitable number of intermediate PIs at feasible locations followed by curve fitting at each PIs, and (c) geographical information system (GIS) database is integrated with the method for estimation of right-of-way cost and environmental impact. The alignment is developed as per the standard geometric design guidelines of highway and railway alignment. The effectiveness of the model is verified by using it for a real-world case study. The proposed method is capable of automatizing the development of a green field horizontal alignment and can aid engineers in the process of planning and development.


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  • Accession Number: 01887552
  • Record Type: Publication
  • ISBN: 9789811922732
  • Files: TRIS
  • Created Date: Jul 17 2023 9:13AM