Evaluating Three Dimensional Vision Fields in Pedestrian Micro-simulations

Morrow, Erin; MacKenzie, I. Scott; Nema, Gaurav; Park, Daniel

doi:10.1016/j.trpro.2014.09.053

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…Currently, ease of wayfinding is evaluated using four approaches: real field testing [10], virtual field testing [11,12], CAD model analysis [13], and wayfinding simulation [14][15][16][17][18][19][20]. In real field tests [10], a certain number of human subjects are asked to perform experimental wayfinding tasks in a real environment.…”

Section: Signage Type Navigation Informationmentioning

confidence: 99%

“…However, this approach cannot evaluate ease of wayfinding in terms of signage visibility, legibility, and noticeability because three-dimensional (3D) interactions between individuals and signage are not considered. Recently, a variety of wayfinding simulations has been proposed [14][15][16][17][18][19][20]. Such simulation-based approaches have made it possible to evaluate the ease of wayfinding by simulating the wayfinding of the pedestrian model.…”

Section: Signage Type Navigation Informationmentioning

confidence: 99%

“…Furthermore, Morrow et al [15] proposed an environmental visibility evaluation system using 3D pedestrian model. In the study, environmental visibilities from pedestrian models were evaluated to assist facility managers in designing architectural layout and signage placement.…”

Section: Related Workmentioning

confidence: 99%

“…In the study, environmental visibilities from pedestrian models were evaluated to assist facility managers in designing architectural layout and signage placement. However, these studies [14,15] are not applicable to the evaluation of ease of wayfinding based on signage system because the pedestrian models used in them were not modeled to incorporate the surrounding signage in the simulation.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike the simulations developed in these previous studies [14][15][16][17][18][19][20], the proposed system can evaluate the ease of wayfinding by simulating 3D interactions among realistic wayfinding behaviors, as-is environment model, and realistic signage system. Specifically, the contributions of the present study are as follows:…”

Section: Related Workmentioning

confidence: 99%

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Simulation-Based Evaluation of Ease of Wayfinding Using Digital Human and As-Is Environment Models

Maruyama

Kanai

Date

et al. 2017

IJGI

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Abstract:As recommended by the international standards, ISO 21542, ease of wayfinding must be ensured by installing signage at all key decision points on walkways such as forks because signage greatly influences the way in which people unfamiliar with an environment navigate through it. Therefore, we aimed to develop a new system for evaluating the ease of wayfinding, which could detect spots that cause disorientation, i.e., "disorientation spots", based on simulated three-dimensional (3D) interactions between wayfinding behaviors and signage location, visibility, legibility, noticeability, and continuity. First, an environment model reflecting detailed 3D geometry and textures of the environment, i.e., "as-is environment model", is generated automatically using 3D laser-scanning and structure-from-motion (SfM). Then, a set of signage entities is created by the user. Thereafter, a 3D wayfinding simulation is performed in the as-is environment model using a digital human model (DHM), and disorientation spots are detected. The proposed system was tested in a virtual maze and a real two-story indoor environment. It was further validated through a comparison of the disorientation spots detected by the simulation with those of six young subjects. The comparison results revealed that the proposed system could detect disorientation spots, where the subjects lost their way, in the test environment.

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Section: Signage Type Navigation Informationmentioning

confidence: 99%

Section: Signage Type Navigation Informationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Simulation-Based Evaluation of Ease of Wayfinding Using Digital Human and As-Is Environment Models

Maruyama

Kanai

Date

et al. 2017

IJGI

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Information Theoretic Model to Simulate Agent-Signage Interaction for Wayfinding

et al. 2019

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Signage systems are critical for communicating spatial information during wayfinding among a plethora of noise in the environment. A proper signage system can improve wayfinding performance and user experience by reducing the perceived complexity of the environment. However, previous models of sign-based wayfinding do not incorporate realistic noise or quantify the reduction in perceived complexity from the use of signage. Drawing upon concepts from information theory, we propose and validate a new agent-signage interaction model that quantifies available wayfinding information from signs for wayfinding. We conducted two online crowd-sourcing experiments to compute the distribution of a sign's visibility and an agent's decision-making confidence as a function of observation angle and viewing distance. We then validated this model using a virtual reality (VR) experiment with trajectories from human participants. The crowd-sourcing experiments provided a distribution of decision-making entropy (conditioned on visibility) that can be applied to any sign/environment. From the VR experiment, a training dataset of 30 trajectories was used to refine our model, and the remaining test dataset of 10 trajectories was compared with agent behavior using dynamic time warping (DTW) distance. The results revealed a reduction of 38.76% in DTW distance between the average trajectories before and after refinement. Our refined agentsignage interaction model provides realistic predictions of human wayfinding behavior using signs. These findings represent a first step towards modeling human wayfinding behavior in complex real environments in a manner that can incorporate several additional random variables (e.g., environment layout). Keywords Cognitive agent • Information theory • Entropy • Artificial intelligence • Agent-based model • Signage system Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Generative design for COVID-19 and future pathogens using stochastic multi-agent simulation

Lee

Lau

Mogk

et al. 2023

Sustainable Cities and Society

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Evaluating Three Dimensional Vision Fields in Pedestrian Micro-simulations

Cited by 8 publications

References 1 publication

Simulation-Based Evaluation of Ease of Wayfinding Using Digital Human and As-Is Environment Models

Simulation-Based Evaluation of Ease of Wayfinding Using Digital Human and As-Is Environment Models

Information Theoretic Model to Simulate Agent-Signage Interaction for Wayfinding

Generative design for COVID-19 and future pathogens using stochastic multi-agent simulation

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