Optimum Point of Intersection Selection in Horizontal Highway Alignment Design: A Comparative Study Using Path Planner Method and Ant Algorithm
This paper proposes the application of the path planner method (PPM) for optimizing horizontal alignment. The method operates on the principle of rapidly exploring random tree (RRT) and is capable in efficiently searching non-convex high dimension space. In this method, the entire search space is explored by the randomly generated point of intersections (PIs) which are connected to develop a tree-like path by expanding from start to end point, iteratively. These paths would meet the highway geometric guidelines and minimize associated cost. The potential sets of PIs are connected to generate the tangent sections, thus in developing an alignment. The alignment is checked for encroachment towards restricted areas and any violation leads to further refinement of the PI locations. Various researchers have extensively used artificial intelligence (AI) based heuristics algorithms for optimization of horizontal alignment. The proposed PPM is compared with one such algorithm, i.e. the ant algorithm (AA). Further, the suitability of the PPM in optimizing the horizontal alignment is reviewed. The efficiency of both the methods is verified through two case studies, one being a hypothetical and another using a real topographical map of a place in Gujarat, India.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789813290419
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Sushma, M B
- Roy, Sandeepan
- Prasad, M B R
- Maji, Avijit
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Conference:
- 4th Conference of Transportation Research Group of India (CTRG 2017)
- Location: Mumbai , India
- Date: 2017-12-17 to 2017-12-20
- Publication Date: 2019-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 185-199
- Monograph Title: Transportation Research: Proceedings of CTRG 2017
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Serial:
- Lecture Notes in Civil Engineering
- Volume: 45
- Publisher: Springer Singapore
- ISSN: 2366-2557
- EISSN: 2366-2565
- Serial URL: https://www.springer.com/series/15087
Subject/Index Terms
- TRT Terms: Alignment; Case studies; Geometric design; Highway design; Intersections; Optimization
- Geographic Terms: Gujarat (India)
- Subject Areas: Design; Highways;
Filing Info
- Accession Number: 01901252
- Record Type: Publication
- ISBN: 9789813290419
- Files: TRIS
- Created Date: Dec 3 2023 3:32PM