Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to Human Factors Engineering (2nd Edition)
Introduction to Human Factors Engineering (2nd Edition)
Verification and validation: verification and validation of simulation models
Proceedings of the 35th conference on Winter simulation: driving innovation
Future of the simulation industry, panel: the future of the simulation industry
Proceedings of the 35th conference on Winter simulation: driving innovation
Gaining acceptance of simulation: a social challenge
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
An agent-based simulation framework for cognitive radio studies
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Proceedings of the 2010 Summer Computer Simulation Conference
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Movement of entities in discrete event simulation typically requires predefined paths with decision points that dictate entity movement. Human-like travel is difficult to model correctly with these constraints because that is not how people move and large individual differences exist in capabilities and strategies. Agent based modeling is considered a better way to simulate the real-time interaction of people with their environment. In this paper we propose to integrate agent based modeling with discrete event simulation to simulate the movement of people in a discrete event system. An agent based module was constructed within the AutoMod simulation package, and a test case was modeled in which people (agents) at a theme-park interact with objects and people in their environment to get directions and then walk or take a tram to their final destination. We explain the details of model implementation and describe the verification and initial validation of the model.