Adaptive Forecasting in Earthmoving Operation Using DES and Site Captured Data

Montaser, Ali; Ibrahim, Magdy; Moselhi, Osama

doi:10.1016/j.proeng.2014.10.563

Cited by 4 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many simulation models have been built to study the effect of different factors on earthmoving operations. is includes fleet optimization [26][27][28]; decision support [29][30][31], and utilizing real data [32][33][34].…”

Section: Earthmoving Visualizermentioning

confidence: 99%

A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards

Ali

Mohamed

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

3D Visualization provides a mean for communicating different construction activities to diverse audiences. e scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging heterogeneous data from different sources (such as BIM model and CPM schedule). e data merging process is usually carried out on ad hoc basis for a specific visualization case which limits the reusability of the process. is paper discusses a framework for automatic merging of heterogeneous data to create a visualization. e paper describes developing an ontology which captures concepts related to the visualization process. en, heterogeneous data sources that are commonly used in construction are fed into the ontology which can be queried to produce different visualization scenarios. e potential of this approach has been demonstrated by providing multiple visualization scenarios that cover different audiences, levels of detail, and time resolutions.

show abstract

Section: Earthmoving Visualizermentioning

confidence: 99%

A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards

Ali

Mohamed

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Researchers also investigated the use of images and videos for earthwork volume takeoff (Siebert and Teizer, ) and productivity analysis (Bugler et al, ; Rezazadeh Azar et al, ). Such information provides valuable inputs for adaptive earthmoving operations simulation (Montaser et al, ), earthwork allocation optimization (Easa, ; Hare et al, ; Ji et al, ), and highway design optimization (Vázquez‐Méndez et al, ; Jong et al., ). However, the majority of simulation models generally assumes a predefined project execution plan; thus simplifying the simulation to a cycle between a loading area and a dumping pit (Shi and AbouRizk, ; Li et al., ).…”

Section: Introductionmentioning

confidence: 99%

“…Automated planner bridges the gap between data and project network and enables semiautomated project planning. (Montaser et al, 2014), earthwork allocation optimization (Easa, 1987;Hare et al, 2011;Ji et al, 2010), and highway design optimization (Vázquez-Méndez et al, 2018;Jong et al, 2000). However, the majority of simulation models generally assumes a predefined project execution plan; thus simplifying the simulation to a cycle between a loading area and a dumping pit (Shi and AbouRizk, 1998;Li et al, 2016a).…”

mentioning

confidence: 99%

Classical Planning Model‐Based Approach to Automating Construction Planning on Earthwork Projects

2018

Computer aided Civil Eng

View full text Add to dashboard Cite

Extensive research in automated operation planning has led to significant advances in the area of robotics. Theories and methods resulting from robotics have yet to be adapted to enable automated project planning in construction engineering. Aiming to demonstrate the potential of implementing automated planning theory and methods in construction project planning, we developed an automated earthwork planner prototype following the principles and framework of classical planning model in computer science. As time is not explicitly represented, implementing classical planning model to perform optimization and planning simultaneously results in potential temporal–spatial conflicts (TSCs). The present research develops a two‐step approach to separate operations optimization and earthwork planning in typical rough grading projects. As such, TSCs encountered in existing mathematical programming based earthwork planning methods are resolved. To enable fully integrated and automated earthwork planning, the prototype system has been seamlessly integrated with project scheduling and operations simulation software for higher level analyses. To demonstrate advantages of the automated planning methodology, construction plans were independently produced by 14 graduate student teams on the same “testbed” project; results were evaluated and compared with the plan generated by the proposed system.

show abstract

Multi-camera vision-based productivity monitoring of earthmoving operations

Kim

Chi

2020

Automation in Construction

View full text Add to dashboard Cite

Adaptive Forecasting in Earthmoving Operation Using DES and Site Captured Data

Cited by 4 publications

References 20 publications

A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards

A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards

Classical Planning Model‐Based Approach to Automating Construction Planning on Earthwork Projects

Multi-camera vision-based productivity monitoring of earthmoving operations

Contact Info

Product

Resources

About