Loading…

Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization

Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this stu...

Full description

Saved in:
Bibliographic Details
Published in:E3S web of conferences 2024-01, Vol.512, p.3005
Main Authors: Wang, Huijun, Xie, Pinghong, Li, Zhiguo, Gao, Jianqiang
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2275-be0741077c65c55f3d34fe96210c1ca586d8d71561465e3dae617051e0aac4c93
container_end_page
container_issue
container_start_page 3005
container_title E3S web of conferences
container_volume 512
creator Wang, Huijun
Xie, Pinghong
Li, Zhiguo
Gao, Jianqiang
description Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this study puts forward a novel highway alignment model to optimize the horizontal and vertical alignment design, in which the length utility cost and structure construction cost are projected into the optimization space. Finally, the numerical solution is carried out by MOPSO on MATLAB platform. The results show that this method can effectively solve the problem of highway alignment design under the condition of realizing the highway design specifications, shortening the design cycle, and improving the design quality, which verifies the feasibility of the optimization algorithm for the horizontal and vertical alignment optimization design of highway.
doi_str_mv 10.1051/e3sconf/202451203005
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_98c7c9a60ed94a30a1d70c45ce014d5c</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_98c7c9a60ed94a30a1d70c45ce014d5c</doaj_id><sourcerecordid>oai_doaj_org_article_98c7c9a60ed94a30a1d70c45ce014d5c</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2275-be0741077c65c55f3d34fe96210c1ca586d8d71561465e3dae617051e0aac4c93</originalsourceid><addsrcrecordid>eNpVkNtOwkAQQDdGEwnyBz70Byqzt277iHiBBIKJ-rwZdqewhLakrRL8eqsQg08zOQ8nM4exWw53HDQfkmxcVeZDAUJpLkAC6AvWEyIxMRdKXJ7t12zQNBsA4EKnClSP4SSs1ns8RKNtWJUFlW202LWhCF_YhqqMHqjpeDSndl356B4b8lGH5x_bNsSL5YZcGz4pesG6DW5L0ese6-Kf4oZd5bhtaHCaffb-9Pg2nsSzxfN0PJrFTgij4yWBURyMcYl2WufSS5VTlggOjjvUaeJTb7hOuEo0SY-UcNP9T4DolMtkn02PXl_hxu7qUGB9sBUG-wuqemVPR9osdcZlmAD5TKEE5N6AU9oRcOW161zq6HJ11TQ15X8-Dvanuj1Vt-fV5Tc_DXb6</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization</title><source>Publicly Available Content Database</source><creator>Wang, Huijun ; Xie, Pinghong ; Li, Zhiguo ; Gao, Jianqiang</creator><creatorcontrib>Wang, Huijun ; Xie, Pinghong ; Li, Zhiguo ; Gao, Jianqiang</creatorcontrib><description>Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this study puts forward a novel highway alignment model to optimize the horizontal and vertical alignment design, in which the length utility cost and structure construction cost are projected into the optimization space. Finally, the numerical solution is carried out by MOPSO on MATLAB platform. The results show that this method can effectively solve the problem of highway alignment design under the condition of realizing the highway design specifications, shortening the design cycle, and improving the design quality, which verifies the feasibility of the optimization algorithm for the horizontal and vertical alignment optimization design of highway.</description><identifier>ISSN: 2267-1242</identifier><identifier>EISSN: 2267-1242</identifier><identifier>DOI: 10.1051/e3sconf/202451203005</identifier><language>eng</language><publisher>EDP Sciences</publisher><ispartof>E3S web of conferences, 2024-01, Vol.512, p.3005</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2275-be0741077c65c55f3d34fe96210c1ca586d8d71561465e3dae617051e0aac4c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Wang, Huijun</creatorcontrib><creatorcontrib>Xie, Pinghong</creatorcontrib><creatorcontrib>Li, Zhiguo</creatorcontrib><creatorcontrib>Gao, Jianqiang</creatorcontrib><title>Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization</title><title>E3S web of conferences</title><description>Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this study puts forward a novel highway alignment model to optimize the horizontal and vertical alignment design, in which the length utility cost and structure construction cost are projected into the optimization space. Finally, the numerical solution is carried out by MOPSO on MATLAB platform. The results show that this method can effectively solve the problem of highway alignment design under the condition of realizing the highway design specifications, shortening the design cycle, and improving the design quality, which verifies the feasibility of the optimization algorithm for the horizontal and vertical alignment optimization design of highway.</description><issn>2267-1242</issn><issn>2267-1242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkNtOwkAQQDdGEwnyBz70Byqzt277iHiBBIKJ-rwZdqewhLakrRL8eqsQg08zOQ8nM4exWw53HDQfkmxcVeZDAUJpLkAC6AvWEyIxMRdKXJ7t12zQNBsA4EKnClSP4SSs1ns8RKNtWJUFlW202LWhCF_YhqqMHqjpeDSndl356B4b8lGH5x_bNsSL5YZcGz4pesG6DW5L0ese6-Kf4oZd5bhtaHCaffb-9Pg2nsSzxfN0PJrFTgij4yWBURyMcYl2WufSS5VTlggOjjvUaeJTb7hOuEo0SY-UcNP9T4DolMtkn02PXl_hxu7qUGB9sBUG-wuqemVPR9osdcZlmAD5TKEE5N6AU9oRcOW161zq6HJ11TQ15X8-Dvanuj1Vt-fV5Tc_DXb6</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Wang, Huijun</creator><creator>Xie, Pinghong</creator><creator>Li, Zhiguo</creator><creator>Gao, Jianqiang</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20240101</creationdate><title>Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization</title><author>Wang, Huijun ; Xie, Pinghong ; Li, Zhiguo ; Gao, Jianqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2275-be0741077c65c55f3d34fe96210c1ca586d8d71561465e3dae617051e0aac4c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Huijun</creatorcontrib><creatorcontrib>Xie, Pinghong</creatorcontrib><creatorcontrib>Li, Zhiguo</creatorcontrib><creatorcontrib>Gao, Jianqiang</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>E3S web of conferences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Huijun</au><au>Xie, Pinghong</au><au>Li, Zhiguo</au><au>Gao, Jianqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization</atitle><jtitle>E3S web of conferences</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>512</volume><spage>3005</spage><pages>3005-</pages><issn>2267-1242</issn><eissn>2267-1242</eissn><abstract>Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this study puts forward a novel highway alignment model to optimize the horizontal and vertical alignment design, in which the length utility cost and structure construction cost are projected into the optimization space. Finally, the numerical solution is carried out by MOPSO on MATLAB platform. The results show that this method can effectively solve the problem of highway alignment design under the condition of realizing the highway design specifications, shortening the design cycle, and improving the design quality, which verifies the feasibility of the optimization algorithm for the horizontal and vertical alignment optimization design of highway.</abstract><pub>EDP Sciences</pub><doi>10.1051/e3sconf/202451203005</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2267-1242
ispartof E3S web of conferences, 2024-01, Vol.512, p.3005
issn 2267-1242
2267-1242
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_98c7c9a60ed94a30a1d70c45ce014d5c
source Publicly Available Content Database
title Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T01%3A44%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Highway%20Alignment%20Optimization%20Design%20Method%20Based%20on%20Multi-Objective%20Particle%20Swarm%20Optimization&rft.jtitle=E3S%20web%20of%20conferences&rft.au=Wang,%20Huijun&rft.date=2024-01-01&rft.volume=512&rft.spage=3005&rft.pages=3005-&rft.issn=2267-1242&rft.eissn=2267-1242&rft_id=info:doi/10.1051/e3sconf/202451203005&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_98c7c9a60ed94a30a1d70c45ce014d5c%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2275-be0741077c65c55f3d34fe96210c1ca586d8d71561465e3dae617051e0aac4c93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true