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Low-construction-emission cross-section optimization for mountainous highway alignment designs.

Authors :
Gao, Yan
Gao, Tianci
Wu, Yuecheng
Wang, Ping
He, Qing
Source :
Transportation Research Part D: Transport & Environment. Apr2022, Vol. 105, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Designing low-construction-emission cross-sections of mountainous highway alignments is challenging. To address this issue, this paper develops a framework of cross-section optimization for highway alignment (COHA) to minimize the construction costs and emissions of the mountainous highway. First, COHA enumerates the earthwork costs of all possible highway cross-section locations in each cross-section profile. Second, we classify cross-sections into two categories, sensitive and nonsensitive cross-sections, with stochastic dominance (SD) theory and a complete ranking method. Third, to obtain the final optimized highway alignment, the initial alignment determined by optimal cross-sections is fitted by the weighted least square method with two dimensions. Finally, this methodology is applied to a real-world case study in a mountainous region, and the results verify that COHA can automatically optimize highway alignment, decreasing carbon dioxide emissions and land use by 3.6 % and 3.1 %, respectively, compared with manual work. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13619209
Volume :
105
Database :
Academic Search Index
Journal :
Transportation Research Part D: Transport & Environment
Publication Type :
Academic Journal
Accession number :
156078598
Full Text :
https://doi.org/10.1016/j.trd.2022.103249