Trends and potentials in design optimization for road projects
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Title of host publication | Computing in Civil Engineering 2023 |
Subtitle of host publication | Data, Sensing, and Analytics |
Publisher | American Society of Civil Engineers (ASCE) |
Pages | 233-240 |
ISBN (electronic) | 9780784485224 |
Publication status | Published - 2024 |
Publication series
Name | Computing in Civil Engineering |
---|
Conference
Title | 2023 ASCE International Conference on Computing in Civil Engineering (i3CE 2023) |
---|---|
Location | Oregon State University |
Place | United States |
City | Corvallis |
Period | 25 - 28 June 2023 |
Link(s)
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).
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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review