Adding Sociality to Virtual Pedestrian Groups

N.S. Jaklin; Angelos Kremyzas; R.J. Geraerts

doi:10.1145/2821592.2821597

Adding Sociality to Virtual Pedestrian Groups

N.S. Jaklin
, Angelos Kremyzas
, R.J. Geraerts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We present a new method, Social Groups and Navigation (SGN), to simulate the walking behavior of small pedestrian groups in virtual environments. SGN is the first method to simulate group behavior on both global and local levels. We define quantitative metrics to measure the coherence and the sociality of a group based on existing empirical data of real crowds. SGN is designed to let groups stay in coherent and social formations without explicitly modeling
such formations. For groups of four, SGN generates between 13% and 53% more socially-friendly behavior than existing methods, measured over the lifetime of a group in the simulation. For groups of three, the gain is between 15% and 31%, and for groups of two, the gain is between 1% and 4%. SGN can be used with any existing global path planner and any existing path following method.
Experiments show that SGN enables the simulation of thousands of agents in real time. Due to its flexible design, it can be easily integrated into a larger crowd simulation framework.

Original language	English
Title of host publication	Proceedings of the 21th ACM Symposium on Virtual Reality Software and Technology (VRST 2015)
Pages	163-172
Number of pages	10
DOIs	https://doi.org/10.1145/2821592.2821597
Publication status	Published - 2015

Bibliographical note

VRST '15 Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology

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sgn_paperFinal published version, 883 KBLicence: Taverne

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title = "Adding Sociality to Virtual Pedestrian Groups",

abstract = "We present a new method, Social Groups and Navigation (SGN), to simulate the walking behavior of small pedestrian groups in virtual environments. SGN is the first method to simulate group behavior on both global and local levels. We define quantitative metrics to measure the coherence and the sociality of a group based on existing empirical data of real crowds. SGN is designed to let groups stay in coherent and social formations without explicitly modeling such formations. For groups of four, SGN generates between 13\% and 53\% more socially-friendly behavior than existing methods, measured over the lifetime of a group in the simulation. For groups of three, the gain is between 15\% and 31\%, and for groups of two, the gain is between 1\% and 4\%. SGN can be used with any existing global path planner and any existing path following method. Experiments show that SGN enables the simulation of thousands of agents in real time. Due to its flexible design, it can be easily integrated into a larger crowd simulation framework. ",

author = "N.S. Jaklin and Angelos Kremyzas and R.J. Geraerts",

note = "VRST '15 Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology",

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AU - Kremyzas, Angelos

AU - Geraerts, R.J.

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PY - 2015

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AB - We present a new method, Social Groups and Navigation (SGN), to simulate the walking behavior of small pedestrian groups in virtual environments. SGN is the first method to simulate group behavior on both global and local levels. We define quantitative metrics to measure the coherence and the sociality of a group based on existing empirical data of real crowds. SGN is designed to let groups stay in coherent and social formations without explicitly modeling such formations. For groups of four, SGN generates between 13% and 53% more socially-friendly behavior than existing methods, measured over the lifetime of a group in the simulation. For groups of three, the gain is between 15% and 31%, and for groups of two, the gain is between 1% and 4%. SGN can be used with any existing global path planner and any existing path following method. Experiments show that SGN enables the simulation of thousands of agents in real time. Due to its flexible design, it can be easily integrated into a larger crowd simulation framework.

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DO - 10.1145/2821592.2821597

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BT - Proceedings of the 21th ACM Symposium on Virtual Reality Software and Technology (VRST 2015)

ER -

Adding Sociality to Virtual Pedestrian Groups

Abstract

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