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The Simulation of Route Choice Behaviour with an Emotion-determined Model
This study presents a novel impatience-based model on the route choice simulations. Two parameters: self-growth rate and propagation speed of impatience are introduced to calculate the dynamic impatience level. The target cell is determined by comprehensively considering distance, density around exits, and the impatience level. At each time step, pedestrians will move into the target cell in turn depending on the descending order of their impatience level. To test the feasibility of this model, we apply this model into the typical scenario (i.e., square room with two exits) and conduct the sensitivity analysis of two model parameters. The simulation results illustrate that this proposed model can successfully reproduce typical collective behaviour (i.e., clogging). Compared with the previous model in which only distance is considered, this model has two exits fully used and then improves evacuation efficiency. The parameter analysis results show that in this simulation scenario, self-growth speed is the dominated factor. With the increase of self-growth rate, evacuation time is shortened. In addition, scatter plots of evacuation time against maximum impatience level shows both no impatience and an excessive impatience level will lead to an increase in evacuation time. The comparison between impatience-determined model and Pathfinder illustrates the impatience-determined model leads to a smoother evacuation process, and this model is applicable in predicting the evacuation process with multiple exits.
The Simulation of Route Choice Behaviour with an Emotion-determined Model
This study presents a novel impatience-based model on the route choice simulations. Two parameters: self-growth rate and propagation speed of impatience are introduced to calculate the dynamic impatience level. The target cell is determined by comprehensively considering distance, density around exits, and the impatience level. At each time step, pedestrians will move into the target cell in turn depending on the descending order of their impatience level. To test the feasibility of this model, we apply this model into the typical scenario (i.e., square room with two exits) and conduct the sensitivity analysis of two model parameters. The simulation results illustrate that this proposed model can successfully reproduce typical collective behaviour (i.e., clogging). Compared with the previous model in which only distance is considered, this model has two exits fully used and then improves evacuation efficiency. The parameter analysis results show that in this simulation scenario, self-growth speed is the dominated factor. With the increase of self-growth rate, evacuation time is shortened. In addition, scatter plots of evacuation time against maximum impatience level shows both no impatience and an excessive impatience level will lead to an increase in evacuation time. The comparison between impatience-determined model and Pathfinder illustrates the impatience-determined model leads to a smoother evacuation process, and this model is applicable in predicting the evacuation process with multiple exits.
The Simulation of Route Choice Behaviour with an Emotion-determined Model
Shi, Meng (author) / Wai Ming Lee, Eric (author) / Cao, Ruifeng (author) / Ma, Yi (author) / Xie, Wei (author)
2019-10-01
3353254 byte
Conference paper
Electronic Resource
English
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