Incorporation of the Driver’s Personality Profile in an Agent Model
Abstract
Urban traffic flow is a complex system. Behavior of an individual driver can have butterfly effect which can become root cause of an emergent phenomenon such as congestion or accident. Interaction of drivers with each other and the surrounding environment forms the dynamics of traffic flow. Hence global effects of traffic flow depend upon the behavior of each individual driver. Due to several applications of driver models in serious games, urban traffic planning and simulations, study of a realistic driver model is important. Hhence cognitive models of a driver agent are required. In order to address this challenge concepts from cognitive science and psychology are employed to design a computational model of driver cognition which is capable of incorporating law abidance and social norms using big five personality profile.References
M. Treiber, A. Kesting, and C. Thiemann, Traffic Flow Dynamics: Data, Models and Simulation. Springer, 2012. http://www.springer.com/physics/complexity/book/978-3-642-32459-8
S. C. Davis, S. W. Diegel, R. G. Boundy, O. R. N. Laboratory, C. for T. A. (Oak R. N. L. E. and T. S. Division, and U. S. D. of E. O. of E. E. and R. Energy, Transportation Energy Data Book: Edition 31. Oak Ridge National Laboratory, 2012. http://cta.ornl.gov/data/index.shtml
H. Dia, “An agent-based approach to modelling driver route choice behaviour under the influence of real-time information,” Transp. Res. Part C Emerg. Technol., vol. 10, no. 5–6, pp. 331–349, Oct. 2002. http://www.sciencedirect.com/science/article/pii/S0968090X02000256
A. Doniec, R. Mandiau, S. Piechowiak, and S. Espié, “A behavioral multi-agent model for road traffic simulation,” Eng. Appl. Artif. Intell., vol. 21, no. 8, pp. 1443–1454, Dec. 2008.
http://www.sciencedirect.com/science/article/pii/S0952197608000456
B. Chen and H. H. Cheng, “A Review of the Applications of Agent Technology in Traffic and Transportation Systems,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 2, pp. 485–497, Jun. 2010.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5462881&tag=1
S. Seele, R. Herpers, and C. Bauckhage, “Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments,” in Entertainment Computing - ICEC 2012, M. Herrlich, R. Malaka, and M. Masuch, Eds. Springer Berlin Heidelberg, 2012, pp. 318–325.
http://link.springer.com/chapter/10.1007%2F978-3-642-33542-6_27
“Big Five personality traits,” Wikipedia, the free encyclopedia. 23-Aug-2013.
http://en.wikipedia.org/wiki/Big_Five_personality_traits
O. P. John, R. W. Robins, and L. A. Pervin, Handbook of Personality, Third Edition: Theory and Research. Guilford Press, 2008.
O. P. John, L. P. Naumann, and C. J. Soto, “Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues,” in Handbook of personality: Theory and research (3rd ed.), O. P. John, R. W. Robins, and L. A. Pervin, Eds. New York, NY, US: Guilford Press, 2008, pp. 114–158. http://psycnet.apa.org/psycinfo/2008-11667-004
V. Benet-Martínez and O. P. John, “Los Cinco Grandes across cultures and ethnic groups: multitrait multimethod analyses of the Big Five in Spanish and English,” J. Pers. Soc. Psychol., vol. 75, no. 3, pp. 729–750, Sep. 1998. http://www.ncbi.nlm.nih.gov/pubmed/9781409
M. Hoogendoorn, S. W. Jaffry, and J. Treur, “Modeling Dynamics of Relative Trust of Competitive Information Agents,” in Cooperative Information Agents XII, M. Klusch, M. Pěchouček, and A. Polleres, Eds. Springer Berlin Heidelberg, 2008, pp. 55–70.
http://link.springer.com/chapter/10.1007%2F978-3-540-85834-8_7
E. H. Shortliffe and B. G. Buchanan, “A model of inexact reasoning in medicine,” Math. Biosci., vol. 23, no. 3–4, pp. 351–379, Apr. 1975.
http://www.sciencedirect.com/science/article/pii/0025556475900474
G. F. Luger and W. A. Stubblefield, Artificial intelligence: structures and strategies for complex problem solving. The Benjamin/Cummings, 1993.
A. Damasio, Descartes’ Error: Emotion, Reason and the Human Brain. Random House, 2008.
H. S. Levin, H. M. Eisenberg, and A. L. Benton, Frontal Lobe Function and Dysfunction. Oxford University Press, 1991.
M. Hoogendoorn, S. W. Jaffry, and J. Treur, “Incorporating Interdependency of Trust Values in Existing Trust Models for Trust Dynamics,” in Trust Management IV, M. Nishigaki, A. Jøsang, Y. Murayama, and S. Marsh, Eds. Springer Berlin Heidelberg, 2010, pp. 263–276.
http://link.springer.com/chapter/10.1007%2F978-3-642-13446-3_18
W. van Willigen, E. Haasdijk, and L. Kester, “A multi-objective approach to evolving platooning strategies in intelligent transportation systems,” in Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, New York, NY, USA, 2013, pp. 1397–1404. http://dl.acm.org/citation.cfm?id=2463534
R. Fernandes, F. Vieira, and M. Ferreira, “Parallel microscopic simulation of metropolitan-scale traffic,” in Proceedings of the 46th Annual Simulation Symposium, San Diego, CA, USA, 2013, pp. 10:1–10:8. http://www.it.pt/papconf_abs_p.asp?ID_PaperConference=13036&id=3
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