Variable guiding strategies in multi-exits evacuation: Pursuing balanced pedestrian densities

Ren, Huan; Yan, Yuyue; Gao, Fengqiang

doi:10.1016/j.amc.2021.125965

Cited by 17 publications

(19 citation statements)

References 34 publications

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“…It was found that for a symmetric-exit evacuation space, unbalanced pedestrian distributions may be yielded because of the mutual attractions among the pedestrians but can be suppressed by imposing some control mechanisms based on the data of pedestrian density from an observed region. Given the constant observed region, by adjusting the guiding signals according to the pedestrian densities around the exits, [26] showed a preliminary evidence that imposing control mechanisms may be able to pursue a more balanced pedestrian distribution and an efficient evacuation process. However, the effects of the size of the observed regions are not revealed yet and the results therein may loss of generality because only a few simulation were considered.…”

Section: Introductionmentioning

confidence: 98%

“…A multi-grid CA model capturing the turning behaviors was proposed in [23]. Furthermore, an extended floor field CA model describing the group behaviors in crowd evacuation was found in [24], whereas a modified social force model and a force-driven CA model were proposed in [25] and [26] to reflect the evacuation process under guidance.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the situation where the dynamic leader attracts the crowds and move together with them towards one of the exits, the optimal number and optimal positions for those leaders were derived in [34] and [35]. Even though the literatures (such as [28] and [34]) have claimed that the density of the pedestrians plays an important role in the evacuation process, to our best knowledge, our previous study in [26] is the first work indicating the possibility and goodness on controlling the pedestrians' density. It was found that for a symmetric-exit evacuation space, unbalanced pedestrian distributions may be yielded because of the mutual attractions among the pedestrians but can be suppressed by imposing some control mechanisms based on the data of pedestrian density from an observed region.…”

Section: Introductionmentioning

confidence: 99%

“…However, the effects of the size of the observed regions are not revealed yet and the results therein may loss of generality because only a few simulation were considered. Furthermore, it is important to note that the results in [26] did not consider the influence of date time delay in the control mechanisms, which is unnatural for a realistic computer-aided evacuation process.…”

Section: Introductionmentioning

confidence: 99%

“…Contributions: Different from [26] and the other existing results, the main contribution of this paper is focused on finding the optimal size of the observed regions under different data time delays for a dynamic guiding assistant system in partially observable asymmetric-exit evacuation. To this end, inspired by control theory, we propose a general framework of dynamic guiding assistant system with density control algorithm by assuming that only a few parts of the evacuation spaces can be observed to the evacuation assistants.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Effect of density control in partially observable asymmetric-exit evacuation under guidance: Strategic suggestion under time delay

Gao¹,

Yan²,

Chen³

et al. 2021

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To enhance the evacuation efficiency in partially observable asymmetric-exit evacuation, a general framework of dynamic guiding assistant system with density control algorithm is investigated. In this framework, several evacuation assistants are established to observe the partial information of pedestrians' location and adjust the guiding signals of the dynamic guiding assistant systems. A simple on-off-based density control algorithm is proposed for the evacuation assistants according to the delayed data of the observed information (i.e., pedestrian densities in the observed regions near the corresponding exits). By involving a force-driven cellular automaton model, the strategic suggestions on how to set the observed region and the target density are given in this paper. It is observed that the proposed density control algorithm can control (positively affect) the global distribution of the pedestrians' locations and suppress arching phenomena in the evacuation process even using the observed partial information under time delays. By imposing a moderate target density, the dynamic guiding assistant system also suppresses the triggers of collisions around the exits and avoids separating the pedestrians to an inefficient way. We reveal an interesting fact without loss of generality that to enhance the evacuation efficiency, we only need to observe the pedestrians' location from a small region near the exit instead of a large region when the time delay of the observed information is small enough. Our numerical findings are expected to provide some new insights on designing the computer-aided guiding strategies in the real evacuations.

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Section: Introductionmentioning

confidence: 98%