A genetic fuzzy system to model pedestrian walking path in a built environment

Nasir, Mojdeh; Lim, Chee Peng; Nahavandi, Saeid; Creighton, Douglas

doi:10.1016/j.simpat.2014.03.002

Cited by 31 publications

(16 citation statements)

References 32 publications

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“…These efforts have, for the most part analyzed pedestrian fluxes (flows), with no considerations to socio-cultural factors ( [29], [30], [31], [32]). Some of these efforts have integrated simulation models, such as those presented in [33], [34], and [35]. Only one of these efforts included the use real world data [15].…”

Section: Methodsmentioning

confidence: 99%

Pedestrian Systems Modelling: Opportunities and Challenges

Centeno¹,

Pomar²,

Giraldo³

2016

Proceedings of the 14th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Engineering Innovati

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Abstract-Designing pedestrian systems have been a challenge due to the lack of effective tools and methods to model the autonomous behavior of pedestrians. Pedestrians are one of the main players in traffic systems, and they also are their most common victims. The high incident of pedestrians' accidents has led the World Health Organization (WHO) to set the reduction of traffic accidents as a priority for developing countries.

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Section: Methodsmentioning

confidence: 99%

Pedestrian Systems Modelling: Opportunities and Challenges

Centeno¹,

Pomar²,

Giraldo³

2016

Proceedings of the 14th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Engineering Innovati

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show abstract

“…Dell'Orco et al [21] proposed a microscopic model of crowd evacuation defined on a continuous space and used a fuzzy logic technique to reproduce human reasoning. Nasir et al [22] proposed a genetic fuzzy system to model and simulate a pedestrian's steering behavior in a built environment. Fu et al [23] proposed a fuzzy theory-based behavioral model to investigate evacuation dynamics in a cellular space.…”

Section: Related Workmentioning

confidence: 99%

“…Because of the advantages of accessible input perception-based information and easily steerable output, fuzzy logic-based methods have achieved great progress in the modelling of pedestrian dynamics. To the best of our knowledge, most studies using fuzzy logic have focused on the human ability to perceive their surrounding environments [18][19][20][21][22][23][24] and ignored decision-making processes that are vague and imprecise. Compared with previous works, we propose an approach to emulate pedestrian cognitive ability from a new perspective that uses the fuzzy logic system to model subjective decisions.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians

et al. 2017

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Most models designed to simulate pedestrian dynamical behavior are based on the assumption that human decision-making can be described using precise values. This study proposes a new pedestrian model that incorporates fuzzy logic theory into a multi-agent system to address cognitive behavior that introduces uncertainty and imprecision during decision-making. We present a concept of decision preferences to represent the intrinsic control factors of decision-making. To realize the different decision preferences of heterogeneous pedestrians, the Five-Factor (OCEAN) personality model is introduced to model the psychological characteristics of individuals. Then, a fuzzy logic-based approach is adopted for mapping the relationships between the personality traits and the decision preferences. Finally, we have developed an application using our model to simulate pedestrian dynamical behavior in several normal or non-panic scenarios, including a single-exit room, a hallway with obstacles, and a narrowing passage. The effectiveness of the proposed model is validated with a user study. The results show that the proposed model can generate more reasonable and heterogeneous behavior in the simulation and indicate that individual personality has a noticeable effect on pedestrian dynamical behavior.

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“…Here, values 1 and 0 respectively represent complete membership and complete lack of membership, while intermediate values denote intervening degrees of membership. According to this definition of the fuzzy set, it has been extended to handling ambiguous events through linguistic rules [50][51][52]. Dell'Orco et al [53] proposed a microscopic model of crowd evacuation defined on a continuous space, and used fuzzy logic technique to reproduce human reasoning.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

Song

2016

Physics Letters A

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A genetic fuzzy system to model pedestrian walking path in a built environment

Cited by 31 publications

References 32 publications

Pedestrian Systems Modelling: Opportunities and Challenges

Pedestrian Systems Modelling: Opportunities and Challenges

Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians

A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

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