Analysis of an efficient rule-based motion planning system for simulating human crowds

Xiong, Muzhou; Lees, Michael; Cai, Wentong; Zhou, Suiping; Low, Malcolm Yoke Hean

doi:10.1007/s00371-010-0421-6

Cited by 15 publications

(8 citation statements)

References 19 publications

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“…Therefore, they may need to change their trajectories or behaviors to avoid upcoming collisions. Researchers have used a reciprocal velocity obstacle for real‐time multiagent navigation and proposed sets of rules for both collision avoidance and collision response . To make agents become more intelligent, some researchers used theories of cognitive science to improve agents' autonomous performance and enhance their self‐organization pattern .…”

Section: Related Workmentioning

confidence: 99%

A perception‐based emotion contagion model in crowd emergent evacuation simulation

Liu

et al. 2018

Computer Animation & Virtual

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With the increasing number of emergencies, the crowd simulation technology has attracted wide attention in the recent years. Existing emergencies have shown that individuals are easy to be influenced by others' emotion during the evacuation. This will make it easier for people to aggregate together and increase security risks. Some of the existing evacuation models without considering emotion are therefore not suitable for describing crowd behaviors in emergencies. We propose a perception-based emotion contagion model and use multiagent technology to simulate crowd behaviors. Navigation points are introduced to guide the movement of the agents. Based on the proposed model, a prototype simulation system for crowd emotion contagion is developed. The comparative simulation experiments verify that the model can effectively deduct the evacuation time and crowd emotion contagion. The proposed model could be an assistant analysis method for crowd management in emergencies.Public places have been more crowded with the progress of global urbanization. Meanwhile, public safety and crisis management are facing unprecedented challenges with the increasing number of emergencies. In emergencies, overcrowded places become dangerous and would result in a large number of casualties. It has important and practical significance to simulate crowd behaviors in emergencies.After analyzing real incidents of emergencies, we find that existing emergency plans always have problems to cope with changeable emergencies. In emergencies, people easily generate negative emotions and will spread their panic to others. The panic emotion will lead to irrational behaviors. Exploring the law of crowd evacuation behaviors will help us develop a scientific crowd management plan and reduce the emergent evacuation risk. However, it is not suitable to observe crowd behaviors from evacuation drills, as those drills will be constrained by space, cost, or time and cannot be Comput Anim Virtual Worlds. 2018;29:e1817.wileyonlinelibrary.com/journal/cav

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Section: Related Workmentioning

confidence: 99%

A perception‐based emotion contagion model in crowd emergent evacuation simulation

Liu

et al. 2018

Computer Animation & Virtual

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“…Secondly, the individuals are operating within local constraints enforced by some predefined global optimum. Such artificial optimization sometimes generates strange synchronous phenomena and can produce unrealistic behaviors [Xiong et al 2010]. Thirdly, it is becoming increasingly difficult to capture the complete range of crowd behaviors in one single model.…”

Section: Introductionmentioning

confidence: 99%

A pattern-based modeling framework for simulating human-like pedestrian steering behaviors

Lees

Zhou

2013

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology

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In this paper, we propose a new approach to modeling natural steering behaviors of virtual humans. We suspect that a small number of steering strategies are sufficient for generating typical pedestrian behaviors observed in daily-life situations. Through these limited strategies we show that complex steering behaviors are generated by executing appropriate steering strategies at the appropriate time. In our model, decisions on the selection, scheduling and execution of steering strategies in a given situation are based on the matching results between the currently perceived spatial-temporal patterns and the prototypical cases in an agent's experience base. From a modeler's point of view, our approach is intuitive to use. Our model is carefully evaluated through a three-stage validation process, using experimental studies on basic test scenarios, model comparisons under standard but more complex test scenarios, and sensitivity analysis on key model parameters. Experimental results show that our model is able to generate results that reflect the collective efficiency of crowd dynamics and is in agreement with existing literature on pedestrian studies.

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“…To represent the behavior of a crowd, a number of behavior models have been proposed with various types of modelling approaches, such as particle system models [1], flow-based models [2] and agent-based models [3] [4]. To study or mimic the dynamics of a crowd, modelers have considered a number of physical factors, social factors, and psychological factors when characterizing crowds in their models.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Simulation of Large Crowd Evacuation

Wei

Xiong

Zhang

et al. 2011

2011 IEEE 17th International Conference on Parallel and Distributed Systems

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A Grid simulation infrastructure can facilitate a simulation comprising models of different grains and/or models of various types in nature to investigate large and complicated problems. On top of the infrastructure, a simulation of evacuating thousands of pedestrians in a large urban area has been constructed. A number of agent-based and computational models residing at two administrative domains operate together, which successfully presents the dynamics of the complex scenario at scales of both individual and crowd levels. Experimental results indicate that the proposed approach can effectively cope with the size and complexity of a scenario involving a large crowd.

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Analysis of an efficient rule-based motion planning system for simulating human crowds

Cited by 15 publications

References 19 publications

A perception‐based emotion contagion model in crowd emergent evacuation simulation

A perception‐based emotion contagion model in crowd emergent evacuation simulation

A pattern-based modeling framework for simulating human-like pedestrian steering behaviors

A Hybrid Simulation of Large Crowd Evacuation

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