Update schemes of multi-velocity floor field cellular automaton for pedestrian dynamics

Luo, Lin; Fu, Zhijian; Cheng, Huang; Yang, Lizhong

doi:10.1016/j.physa.2017.09.049

Cited by 57 publications

(24 citation statements)

References 29 publications

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“…However, the discrete models have low capability to address various walking speeds because the update scheme depends on the walking speed of pedestrians. For example, only three values of walking speed are considered in CAM [12], and four update schemes are introduced into CAM [13]. In addition to the limitation of walking speed, the number of walking directions of pedestrians in discrete models is also limited.…”

Section: Introductionmentioning

confidence: 99%

Direction-Decision Learning Based Pedestrian Flow Behavior Investigation

Zhang

Jia

2020

IEEE Access

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To investigate the pedestrian flow behavior in corridors, a microscopic simulation model of pedestrian flow is proposed in this paper based on the desired-direction-decision learning and social force model. The proposed model is composed of two parts: direction-decision and walking behavior decision. First, the decision tree model is proposed to predict the walking direction of pedestrians by comparing the prediction and simulation performance of three different models. Then, to avoid collisions between pedestrians and obstacles, the acceleration model and the collision avoidance model are proposed to compute the walking speed. Finally, an computational experiment is conducted to simulate crowd movement in corridors. The experimental results show that the proposed model can suggest the shortest overtaking route for individual pedestrians among four models, and the speed-density relationship fits the experimental data well. The sensitive analysis shows that the lanes in bidirectional pedestrian flow can be formed much more easily if the pedestrians have higher direction changing frequency, and there is an optimal visibility field (2.8) to realize the highest traffic efficiency.

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Section: Introductionmentioning

confidence: 99%

Direction-Decision Learning Based Pedestrian Flow Behavior Investigation

Zhang

Jia

2020

IEEE Access

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“…The SFM has been constantly improved to meet new requirements, including introducing the real video data and the mental state [16]. The cellular automata model [17]- [20] belongs to a spatial discrete model, and pedestrians in the cellular world decide to choose which cellular in the next step according to their maximum motion probability. Lattice gas model [21]- [23] is a special cellular automata model.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Theory-Based Social Force Model for Studying the Impact of Alighting Area Width on Alighting and Boarding Behaviors

2020

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Alighting and boarding efficiency (A&Be) of passengers plays an important role in the formulation of subway timetable. This paper studies the impact of alighting area width on A&Be based on the improved social force model. This improved model adopts the fuzzy logic theory considering factors of train dwell time and passengers ahead to determine the desired speeds of passengers instead of setting fixed values. The t-test method verifies the validity of the model. The passenger movement dynamics characterized by the alighted or boarded passenger quantities, the desired speeds, and the actual speeds over time is then analyzed. The simulation results indicate when people keep to the civilized rules of alighting first, A&Be will be improved significantly with increasing the alighting area width. Otherwise, the arbitrary increase of alighting area width does not necessarily improve A&Be. The alighting area width during the actual design should be determined by the specific passenger volume and passenger civility. Whether the countermeasure of adding the fences to separate the alighting passengers from the boarding passengers is effective to improve the travel efficiency is finally explored through analyzing the simulation results. Our findings could provide theoretical supports for decision-making of waiting area division on the subway platform and passenger flow management in reality. INDEX TERMS Social force model, alighting area width, alighting and boarding efficiency, fuzzy logic theory.

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“…Kirchner et al (2004) pointed out that the evolution of flow rate changes with different update schemes. Most recently, Luo et al (2018) investigated the influence of four different update schemes on pedestrian dynamics in a quantitative and systematic way. They found that for pedestrian evacuation, the evacuation time is enlarged, and the difference in pedestrians' walking abilities are better reflected, under parallel scheme.…”

Section: Introductionmentioning

confidence: 99%

“…(5) Elaborated conflict resolution. Unlike those previous CA models with fine spatial discretization, which usually ignore conflicts among pedestrians by shuffled update schemes, this paper treats conflicts using the synchronous update scheme based on a good understanding of the nature of the conflict (Luo et al 2018). This is done by introducing a detailed competitive relationship among individuals and the average competitive capacity of individuals involved in the conflicts (Fu et al 2015b).…”

Section: Introductionmentioning

confidence: 99%