Distributed problem solving and planning
Multiagent systems
Real world applications of construction process simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
UML distilled (2nd ed.): a brief guide to the standard object modeling language
UML distilled (2nd ed.): a brief guide to the standard object modeling language
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Planning Algorithms
Single agent and multi-agent path planning in unknown and dynamic environments
Single agent and multi-agent path planning in unknown and dynamic environments
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
A framework for real-time simulation of heavy construction operations
Proceedings of the 40th Conference on Winter Simulation
Advanced Engineering Informatics
Proceedings of the Winter Simulation Conference
| Hi-index | 0.00 |
With the increasing complexity of construction projects grows the challenge of securing safety and achieving desirable productivity as the chief priorities of the construction industry. Addressing these issues requires robust mechanisms for on-site real-time data capturing, information processing and decision-making. The current research aims to further investigate the concept of the Smart Construction Site where workers, equipment, and materials are continuously tracked, and the collected information is processed in near real time to update the design model and the simulation of upcoming tasks, and to provide navigation guidance and safety warnings in case of potential collisions. The objective of our research is to improve the productivity and safety of heavy construction projects by integrating 3D design models (e.g. highway models) with the managerial and operational processes of heavy construction using advanced agent technology and multi-agent systems, real-time simulation, and automated machine control.