Sun, Q 2014, A generic approach to modelling individual behaviours in crowd simulation , PhD thesis, University of Salford.
- Accepted Version
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Crowd simulation has been widely used to simulate crowd dynamics and their behaviours. However, majority of existing studies can only simulate a specific scenario or behaviour. Although recent developments have attempted to integrate different individual behaviours in order to achieve a more realistic simulation result, it is still very complex and those crowd models often require significant modifications. This study is therefore aimed to develop a generic crowd model, which provides the flexibility to configure and represent different scenarios, as well as the ability to demonstrate individual differences on crowd behaviours. The theoretical principle of the proposed crowd model is based on the combination of force-based modelling and agent-based modelling. A unified core mathematical formula, which contains seven key parameters, is developed to represent the generic behaviour effects. In addition, a Behaviour Library is developed to present a set of basic behaviours by using the unified formula and subsequently, more complex behaviours could be formed by combining the basic behaviours. The proposed crowd model is implemented in a simulation environment by using Microsoft XNA framework. A number of well-known crowd behaviours are tested with the crowd model for validation. The proposed crowd model is further validated by simulating real life experiments and comparing its results. This research study presents a novel approach to simulate crowd behaviour at individual level by introducing a generic crowd model that can be configured into specific scenarios. It introduces a theoretical concept, through which different behaviour effects could be quantified by a unified mathematical formula. As a result, crowd modelling and simulation of different scenarios can be significantly simplified. For future work, the proposed crowd model can be tested under complex environment in order to fine-tune its theoretical model and to expand the Behaviour Library.
|Item Type:||Thesis (PhD)|
|Contributors:||Wu, S (Supervisor)|
|Themes:||Built and Human Environment
Media, Digital Technology and the Creative Economy
|Schools:||Schools > School of the Built Environment
Schools > School of the Built Environment > Centre for Built Environment Sustainability and Transformation (BEST)
|Funders:||Non funded research|
|Depositing User:||Q Sun|
|Date Deposited:||07 Mar 2014 18:35|
|Last Modified:||30 Nov 2015 23:53|
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