Bi-objective optimization for road vertical alignment design

Akhmet, Ayazhan; Hare, Warren; Lucet, Yves

doi:10.1016/j.cor.2022.105764

Cited by 11 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are programs and services for a fully automated system of intelligent construction and reporting, creation of 3D models of real estate, methods of continuous automated monitoring and processing of geodetic data to build an information model [15][16][17][18].…”

Section: Third Stage: Application Of Uav Technology When Performing M...mentioning

confidence: 99%

Digital technologies for remote control and monitoring in road construction

Glebushkina,

Tokarev

2023

E3S Web of Conf.

View full text Add to dashboard Cite

The use of UAVs is becoming more pressing than ever with the ever-increasing need for computerization and digitalization in the construction industry. The article discusses the issues of effective use of unmanned aerial vehicles in the process of road construction and subsequent operation of linear capital construction projects. The study is devoted to identifying the practical capabilities of UAV technologies for their effective use in the realities of a construction site. The process of studying scientific publications is based on the descriptive method of scientific research, analysis of specialized literature in the field of construction production and the study of world experience in the practical use of UAV technologies. The article identifies the possibilities of unmanned technology for monitoring, controlling material and financial costs, reducing the level of injuries, solving environmental problems that arise during the period of road construction and during the operation of linear objects, as well as their repair or reconstruction. The authors identified some limitations and forty-one additional capabilities of unmanned aerial technologies. Eight criteria require improvement of the technological equipment used in the process of comprehensive monitoring of the quality of the construction process by unmanned aerial vehicles.

show abstract

Section: Third Stage: Application Of Uav Technology When Performing M...mentioning

confidence: 99%

Digital technologies for remote control and monitoring in road construction

Glebushkina,

Tokarev

2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

“…Sushma et al (2022) modified an ant colony optimization algorithm for highway vertical AO incorporating specific global exploration and local exploitation strategies. Akhmet et al (2022) formulated a bi-objective model considering construction cost and vehicle operation cost for road vertical alignments. Different solution methods were tested for solving the bi-objective model.…”

Section: Introductionmentioning

confidence: 99%

“…Akhmet et al. (2022) formulated a bi‐objective model considering construction cost and vehicle operation cost for road vertical alignments. Different solution methods were tested for solving the bi‐objective model. The last but most complex topic in this realm is 3‐dimensional (3‐D) AO.…”

Section: Introductionmentioning

confidence: 99%

Optimizing net present values of risk avoidance for mountain railway alignments with seismic performance evaluation

Song,

Pu,

Yang

et al. 2023

Computer aided Civil Eng

View full text Add to dashboard Cite

Railway alignment optimization in earthquake‐prone mountainous (EPM) regions should quantify and trade off construction investments and seismic risks. Unfortunately, slight attention has been previously devoted to this trade‐off. To this end, based on the FEMA‐P58 methodology, a net present value (NPV) model of risk avoidance is presented and solved. In the model, alignment alternatives are first segmented into structural groups with different probabilistic seismic fragility curves, which are then used to generate structural repair cost and repair time curves. Afterward, a probabilistic seismic hazard curve is introduced to estimate the expected annual repair cost and time for computing railway direct and indirect seismic losses. Hence, the railway total annual loss caused by seismic activity can be obtained. Next, a benefit–cost analysis is performed to combine construction cost and seismic loss as the risk‐cost NPV. To optimize this objective function, a particle swarm algorithm is used as the basic approach. For implementing the probabilistic seismic performance analysis, a Monte Carlo simulation (MCS) is employed as the risk assessment module. Furthermore, due to the computationally intensive nature of MCS, a CPU‐based parallelization is embedded into the algorithm to expedite the search. Finally, the proposed model and method are applied to a representative real‐world railway case in an EPM region. Their effectiveness is discussed and verified in five experiments, including algorithm convergence analysis, alignment solution comparison, seismic risk interpretation, computational efficiency test, and a specific sensitivity analysis.

show abstract

End-to-end BIM-based optimization for dual-objective road alignment design with driving safety and construction cost efficiency

Han

et al. 2023

Automation in Construction

View full text Add to dashboard Cite

Bi-objective optimization for road vertical alignment design

Cited by 11 publications

References 20 publications

Digital technologies for remote control and monitoring in road construction

Digital technologies for remote control and monitoring in road construction

Optimizing net present values of risk avoidance for mountain railway alignments with seismic performance evaluation

End-to-end BIM-based optimization for dual-objective road alignment design with driving safety and construction cost efficiency

Contact Info

Product

Resources

About