MobiCrowd: Simulating crowds with periodic and social mobility (Demonstration)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper we develop a novel crowd simulation framework, MobiCrowd, which aims to generate agent-based collective flocking behaviors with periodic and social mobility. The underlying scenario is that the behaviors of people an urban area are governed by two fundamental factors: (a) spatial-temporal daily routines: stay/sleep at home, work in offices, and move between homes and offices, and (b) social interaction: those acquainted with each other might move together. MobiCrowd is proposed to simulate and produce the real-world phenomenon of human movements, and provide a platform to study urban dynamics and could be used in online games and animation industry.

Original languageEnglish
Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1627-1628
Number of pages2
ISBN (Electronic)9781634391313
Publication statusPublished - 2014 Jan 1
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: 2014 May 52014 May 9

Publication series

Name13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Volume2

Other

Other13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
CountryFrance
CityParis
Period14-05-0514-05-09

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Li, C. T., & Hsieh, H. P. (2014). MobiCrowd: Simulating crowds with periodic and social mobility (Demonstration). In 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 (pp. 1627-1628). (13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014; Vol. 2). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).