Crowd evacuation simulation model with soft computing optimization techniques: a systematic literature review

Sharbini, Hamizan; Sallehuddin, Roselina; Haron, Habibollah

doi:10.1080/23270012.2021.1881924

Cited by 12 publications

(12 citation statements)

References 74 publications

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“…Siyam et al [51] provide a comprehensive overview on agent-based simulation in the case of pedestrian evacuation, while Sharbini et al [52] and Bayram et al [53] provide an extended review on evacuation planning and management. Chen et al [54] discuss the approaches, models and tools used for pedestrian evacuation in indoor emergency situations.…”

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

et al. 2022

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The paper explores the usage of agent-based modeling in the context of large event halls evacuation during music festivals and cultural events. An agent-based model is created in NetLogo 6.2.2 for better representing the human behavior when involved in such situations. A series of characteristics have been set for the agents in order to preserve their heterogeneity in terms of speed, age, locomotion impairment, familiarity with the environment, evacuating with another person, choosing the closest exit or not, selecting the closest path to the exits. An "adapted cone exit" approach has been proposed in the paper in order to facilitate the guidance of the agents in the agent-based model to the closest exit and its advantages have been proved in comparison with the classical "cone exit" approach. Different evacuation scenarios have been simulated and analyzed for better observing the capabilities of evacuation modeling in the case of evacuation emergencies. Besides the overall evacuation time, an average evacuation time has been determined for the agents based on the individual evacuation time, which can be easily connected with a risk indicator associated to each situation. Due to the visual interface offered by the agent-based model, coupled with the evacuation indicators, the proposed model can allow the identification of the main factors that may contribute to a prolonged evacuation process (e.g. overcrowding at one of the exits, not choosing the appropriate door, evacuating with a friend/parent) and the potential measures to be considered for insuring a safe evacuation process.

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Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

et al. 2022

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“…This is referred to as hard computing. Due to accurate statistical foundations and strong modelling capabilities, hard computing approaches have been successful in the emergency evacuation field (Sharbini et al, 2021). These approaches have increased understanding of crowd or pedestrian evacuating behaviours by developing analytical and numerical models that reflect the consequences of real evacuation scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…While recognizing the modelling capabilities of hard computing approaches, some researchers think that they fail to accurately solve the problems at hand (Fan et al, 2020;Sharbini et al, 2021;Zhu et al, 2022). Emergency evacuation problems are always complex and influenced by various fuzzy elements with many constraints.…”

Section: Introductionmentioning

confidence: 99%

“…These constituents are inspired by the reasoning, intuition, awareness, and wisdom that humans possess, primarily through iterative development or learning based on empirical data. Accordingly, they are effective tools to cope with the issues of imprecision, uncertainty, partial truth, learning, and optimization in emergency evacuation studies (Falcone et al, 2020;Sharbini et al, 2021). Ibrahim (2016) pointed out that all these sub-methods are not mutually exclusive and can be combined to solve problems.…”

Section: Introductionmentioning

confidence: 99%

“…SC approaches in emergency evacuation studies have demonstrated their modelling and optimization capabilities for non- deterministic polynomial-time hard (NP-hard) problems by providing solutions to emergency evacuation problems in a reasonable computational time. Sharbini et al (2021) have provided an overview of SC optimization techniques in crowd evacuation simulation models and discussed the microscopic evacuation model integrated with SC approaches. More recently, various applications of Deep Learning (DL), Self-learning, Reinforcement Learning, deep Q-learning, and other AI approaches developed over the last decade for emergency evacuation planning have been published (Bahamid et al, 2020;Chen et al, 2020;Sreenu and Durai, 2019;Tan et al, 2021;Zhang et al, 2021a;Zhang et al, 2021b).…”

Section: Introductionmentioning

confidence: 99%

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Technological advancements have not only made the innovation landscape more complex but also enhanced communication among firms, emphasizing the significance of collaboration. Consequently, there has been a substantial increase in academic interest in innovation ecosystems, leading to a sizable body of research examining their emergence, evolution and governance. Innovation ecosystems operate by effectively coordinating and organizing interconnected entities to facilitate dynamic interactions and promote innovation or value creation. However, since the concept of ecosystems has been in development for a relatively short period of time, research in this area is still somewhat fragmented, with numerous unaddressed gaps. This study provides a comprehensive review of articles from leading management research journals published between 2018 and 2023, using both quantitative and qualitative methods to assess the current state of innovation ecosystem research. Based on our analysis, we propose a research agenda to address the gaps identified in current research.

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Crowd evacuation simulation model with soft computing optimization techniques: a systematic literature review

Cited by 12 publications

References 74 publications

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

A bibliometric review of innovation ecosystem

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