Trends and potentials in design optimization for road projects

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationData, Sensing, and Analytics
PublisherAmerican Society of Civil Engineers (ASCE)
Pages233-240
ISBN (electronic)9780784485224
Publication statusPublished - 2024

Publication series

NameComputing in Civil Engineering

Conference

Title2023 ASCE International Conference on Computing in Civil Engineering (i3CE 2023)
LocationOregon State University
PlaceUnited States
CityCorvallis
Period25 - 28 June 2023

Abstract

In the practical implementation of road design, engineers must make multiple decisions during the design process, which is often neither formalized nor automated, thereby resulting in a repetitive cycle of design, analysis, and modification processes when designing and constructing road projects. Researchers in the architecture, engineering, and construction domain have explored design optimization from many perspectives. This study presents a systematic review of existing literature on road design optimization, summarizing the status quo of existing studies in terms of optimization disciplines, objectives, and methods. The review highlights that existing research on road design optimization has mainly focused on optimizing traffic network, geometry design, and material performance with certain objectives, using various approaches. Future topics could include optimization methods that integrate more analysis processes from different disciplines and incorporate multidisciplinary expertise into building information modeling (BIM) with parametric representation and rich semantic information. © 2024 by the American Society of Civil Engineers.

Citation Format(s)

Trends and potentials in design optimization for road projects. / Dai, Ke; Kim, Jung In.
Computing in Civil Engineering 2023: Data, Sensing, and Analytics. American Society of Civil Engineers (ASCE), 2024. p. 233-240 (Computing in Civil Engineering).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review