Abstract
In this paper we discuss how findings from social sciences research can be injected into a complex urban environment simulator in order to increase the level of realism of the simulated behaviors with respect to the local context. Our team, composed of engineers and social scientists, describe here our approach toward tackling complex simulation problems with embedded human factors. We present some of the results obtained from two different use cases. The rationale and methodology behind those results are further detailed and the limitations and future improvements required are highlighted. This paper shows how simulation should contribute to the improvement of the quality of life of every citizen in a Smart Nation.
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References
Wetmore, J.M.: The value of the social sciences for maximizing the public benefits of engineering. Bridge 42(3), 40–45 (2012)
Gilbert, G.N.: Agent-based models (No. 153). Sage (2008)
Davidsson, P.: Agent based social simulation: a computer science view. J. Artif. Soc. Soc. Simul. 5(1) (2002)
Li, X., Mao, W., Zeng, D., Wang, F.Y.: Agent-based social simulation and modeling in social computing. In: Intelligence and Security Informatics, pp. 401–412 (2008)
Farenc, N., Boulic, R., Thalmann, D.: An informed environment dedicated to the simulation of virtual humans in urban context. In: Computer Graphics Forum, vol. 18, issue 3, pp. 309–318 (1999)
Musse, S. R., & Thalmann, D.: A Model of Human Crowd Behavior: Group Inter-relationship and Collision Detection Analysis, pp. 39–51. Springer Vienna (1997)
Pelechano, N., O’Brien, K., Silverman, B., Badler, N.: Crowd simulation incorporating agent psychological models, roles and communication. Pennsylvania University, Philadelphia Center for Human Modeling and Simulation (2005)
Chao, W.M., Li, T.Y.: Simulation of social behaviors in virtual crowd. In: Computer Animation and Social Agents (2010)
Navarro, L., Flacher, F., Meyer, C.: SE-Star: A large-scale human behavior simulation for planning, decision-making and training. In: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, pp. 1939–1940 (2015)
McCowan, I., Bengio, S., Gatica-Perez, D., Lathoud, G., Monay, F., Moore, D., Wellner, P., Bourlard, H.: Modeling human interaction in meetings. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. IV-748 (2003)
Kuligowski, E.: Predicting human behavior during fires. Fire Technol. 49(1), 101–120 (2013)
Mawson, A.R.: Understanding mass panic and other collective responses to threat and disaster. Psychiatry 68(2), 95–113 (2005)
Land Transport Authority of Singapore (LTA): Household Interview Travel Survey (HITS) 2012: Public transport mode share rises to 63Â % (2013). http://www.lta.gov.sg/
Land Transport Authority of Singapore (LTA). Taxi Customer Satisfaction Survey (TCSS) 2013 (2014). http://www.lta.gov.sg/
Institute of Service Excellence (ISE): Customer Satisfaction Index of Singapore (CSISG) 2013 (2013). http://ises.smu.edu.sg/
Institute of Service Excellence (ISE): Customer Satisfaction Index of Singapore (CSISG) 2014 (2014). http://ises.smu.edu.sg/
Acknowledgment
We would like to express our appreciation to team members from National University of Singapore (NUS) and Nanyang Technological University (NTU) who have contributed to this project during their summer internship 2015, with special thanks to Choo Xin Wei and Lai Shi Min for their contribution.
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Chai, S.K.C. et al. (2016). Using Social Sciences to Enhance the Realism of Simulation for Complex Urban Environments. In: Cardin, MA., Fong, S., Krob, D., Lui, P., Tan, Y. (eds) Complex Systems Design & Management Asia. Advances in Intelligent Systems and Computing, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-319-29643-2_18
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DOI: https://doi.org/10.1007/978-3-319-29643-2_18
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