2010
DOI: 10.1016/j.physa.2009.10.008
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A microscopic pedestrian-simulation model and its application to intersecting flows

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Cited by 74 publications
(47 citation statements)
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“…Previous studies on this topic relied on computer simulations [7][8][9], which built a simulated model based on patterns of pedestrian behaviours through the method of the cellular automaton or the social force [37][38]. The studies using computer simulations considered the behaviour of right-hand-sided, lane changing, and the collision avoidance in the complex bidirectional flow [39,40]; they had shortcomings, including poor randomness, ignoring diversity and adaptability of pedestrian, and poor simulation accuracy.…”
Section: Discussion and Recommendationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous studies on this topic relied on computer simulations [7][8][9], which built a simulated model based on patterns of pedestrian behaviours through the method of the cellular automaton or the social force [37][38]. The studies using computer simulations considered the behaviour of right-hand-sided, lane changing, and the collision avoidance in the complex bidirectional flow [39,40]; they had shortcomings, including poor randomness, ignoring diversity and adaptability of pedestrian, and poor simulation accuracy.…”
Section: Discussion and Recommendationsmentioning
confidence: 99%
“…The analysis of pedestrian flow is fundamental in massive transit planning, facility design, and operations management. Although the study of pedestrian traffic was initiated in the 1950s, which was later than the first research of auto traffic, it has developed fast over the recent years with the advance of modern data collection technologies [4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, these models are not expected to have the ability to compute the moving distance of pedestrians. In the microscopic pedestrian models with continuous space representation, [10][11][12][13][14][15] each pedestrian can move from a coordinate position to another one. Therefore, these models have the ability to accurately compute the moving distance of pedestrians and can be adopted to simulate the moving distance of pedestrians under conditions of invisibility.…”
Section: Introductionmentioning
confidence: 99%
“…First, we derive analytical results for formulating the mean and variance of the moving distance of pedestrians for leaving the rooms, which are two of the most important indices in evaluating evacuation dynamics. We then extend the microscopic model proposed by Guo et al 14 and Guo and Tang, 15 and define a rule for formulating the desired direction of pedestrians, to simulate the evacuation of pedestrians in the rooms. By numerical simulations, we verify the extended model with the rule has the ability of driving pedestrians to move to the exit and to avoid other people or obstacles blocking their movement in the rooms.…”
Section: Introductionmentioning
confidence: 99%
“…The area-based models can be used to simulate the pedestrian dynamics in such closed areas as rooms, corridors and supermarkets. In these models, a crowd is regarded as a fluid to respond to local influences [5][6][7] or pedestrians are treated as discrete individuals [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%