Graphical object-oriented discrete-event simulation system
WSC '92 Proceedings of the 24th conference on Winter simulation
General purpose simulation with stroboscope
WSC '94 Proceedings of the 26th conference on Winter simulation
A framework for incorporating dynamic strategies in earth-moving simulations
Proceedings of the 29th conference on Winter simulation
Validating complex construction simulation models using 3D visualization
Systems Analysis Modelling Simulation
General-purpose 3D animation with VITASCOPE
WSC '04 Proceedings of the 36th conference on Winter simulation
An investigation of real-time dynamic data driven transportation simulation
Proceedings of the 38th conference on Winter simulation
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A generic framework for real-time discrete event simulation (DES) modelling
Proceedings of the 40th Conference on Winter Simulation
A framework for real-time simulation of heavy construction operations
Proceedings of the 40th Conference on Winter Simulation
Yard crane dispatching based on real time data driven simulation for container terminals
Proceedings of the 40th Conference on Winter Simulation
A dynamic data-driven application simulation framework for contaminant transport problems
Computers & Mathematics with Applications
Automated vision tracking of project related entities
Advanced Engineering Informatics
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Recent advances in data collection and operations analysis techniques have facilitated the process of designing, analyzing, planning, and controlling of engineering processes. Mathematical tools such as graphical models, scheduling techniques, operations research, and simulation have enabled engineers to create models that represent activities, resources, and the environment under which a project is taking place. Traditionally, most simulation paradigms use static or historical data to create computer interpretable representations of real engineering systems. The suitability of this approach for modeling construction operations, however, has always been a challenge since most construction projects are unique in nature as every project is different in design, specifications, methods, and standards. Due to the dynamic nature and complexity of most construction operations, there is a significant need for a methodology that combines the capabilities of traditional modeling of engineering systems and real time field data collection. This paper presents the requirements and applicability of a data-driven modeling framework capable of collecting and manipulating real time field data from construction equipment, creating dynamic 3D visualizations of ongoing engineering activities, and updating the contents of a discrete event simulation model representing the real engineering system. The developed framework can be adopted for use by project decision-makers for short-term project planning and control since the resulting simulation and visualization are completely based on the latest status of project entities.