File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Motion planning for efficient and safe module transportation in modular integrated construction

TitleMotion planning for efficient and safe module transportation in modular integrated construction
Authors
Issue Date2023
Citation
Computer-Aided Civil and Infrastructure Engineering, 2023, v. 38, n. 5, p. 580-600 How to Cite?
AbstractModular integrated construction (MiC) is the most advanced construction method that involves off-site manufacturing, factory-to-site transportation, and on-site assembly of free-standing integrated modules. Despite the growing interest in the manufacturability of MiC, little research is available on the passing ability issues where efficient and safe transportation of modules is critical to the project's success. This paper proposes (1) a novel computational method for formulating and solving the module's horizontal passing ability with road constraints as a motion planning problem and (2) a new index to assess the path performance in critical scenarios. The newly developed Truck-Parallelized Hybrid A Star (TP-Hybrid A*) has novelties in collision checking, cost function formulation, and parallel computing on different vehicle dimensions. The effectiveness of the developed algorithm was experimentally verified to be superior to the rapid random tree in computation time and path performance and further demonstrated by applying it to a real-life MiC project. The new index can serve as a useful tool for decision-making in module dimension design and transportation planning of MiC projects when tackling the module's horizontal passing ability issues.
Persistent Identifierhttp://hdl.handle.net/10722/336310
ISSN
2023 Impact Factor: 8.5
2023 SCImago Journal Rankings: 2.972
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZheng, Zhenjie-
dc.contributor.authorPan, Mi-
dc.contributor.authorYang, Yi-
dc.contributor.authorPan, Wei-
dc.date.accessioned2024-01-15T08:25:26Z-
dc.date.available2024-01-15T08:25:26Z-
dc.date.issued2023-
dc.identifier.citationComputer-Aided Civil and Infrastructure Engineering, 2023, v. 38, n. 5, p. 580-600-
dc.identifier.issn1093-9687-
dc.identifier.urihttp://hdl.handle.net/10722/336310-
dc.description.abstractModular integrated construction (MiC) is the most advanced construction method that involves off-site manufacturing, factory-to-site transportation, and on-site assembly of free-standing integrated modules. Despite the growing interest in the manufacturability of MiC, little research is available on the passing ability issues where efficient and safe transportation of modules is critical to the project's success. This paper proposes (1) a novel computational method for formulating and solving the module's horizontal passing ability with road constraints as a motion planning problem and (2) a new index to assess the path performance in critical scenarios. The newly developed Truck-Parallelized Hybrid A Star (TP-Hybrid A*) has novelties in collision checking, cost function formulation, and parallel computing on different vehicle dimensions. The effectiveness of the developed algorithm was experimentally verified to be superior to the rapid random tree in computation time and path performance and further demonstrated by applying it to a real-life MiC project. The new index can serve as a useful tool for decision-making in module dimension design and transportation planning of MiC projects when tackling the module's horizontal passing ability issues.-
dc.languageeng-
dc.relation.ispartofComputer-Aided Civil and Infrastructure Engineering-
dc.titleMotion planning for efficient and safe module transportation in modular integrated construction-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/mice.12835-
dc.identifier.scopuseid_2-s2.0-85126368970-
dc.identifier.volume38-
dc.identifier.issue5-
dc.identifier.spage580-
dc.identifier.epage600-
dc.identifier.eissn1467-8667-
dc.identifier.isiWOS:000770022600001-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats