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Polibits
On-line version ISSN 1870-9044
Polibits n.42 México Jul./Dec. 2010
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences
Maikel León1, Gonzalo Nápoles1, Maria M. García1, Rafael Bello1, and Koen Vanhoof2
1 Central University of Las Villas, Santa Clara, Cuba. (mle@uclv.edu.cu, gnapoles@uclv.edu.cu, mmgarcia@uclv.edu.cu, rbellop@uclv.edu.cu).
2 Hasselt University, Diepenbeek, Belgium. (koen.vanhoof@uhasselt.be).
Manuscript received June 1, 2010.
Manuscript accepted for publication July 20, 2010.
Abstract
All modern society investigates in the field of Travel Behavior because of the significance for all social and economical process of a country. The problems related with travel behavior are not structured; the Artificial Intelligence techniques have a high interest in its solution, specially related with the knowledge representation and the uncertainty. The use of advanced computer techniques like Knowledge Engineering and Cognitive Mapping is also relevant from diverse points of view. A crucial role is played by the process of modeling and defining what will be taken into account in this kind of problems, for that reason in this paper are described some important ideas of how to understand and extract the mental representation of individuals in the decision making and planning of trips, related to daily travels, because this is useful information that can be used in transport demand prediction, analysis and studies.
Key words: Travel behavior, knowledge engineering, cognitive mapping, mental representation, daily travel.
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REFERENCES
[1] M. Dijst, "Spatial policy and passenger transportation," Journal of Housing and the Built Environment, Vol. 12, pp. 91111, 1997. [ Links ]
[2] W. Kandasamy, "Applications of Fuzzy Cognitive Maps to Determine the Maximum Utility of a Route," Journal of Fuzzy Mathematics, Vol. 8, pp. 6577, 2000. [ Links ]
[3] C. Khisty, Transportation Engineering: an introduction. Prentice Hall, 1990, 388 p. [ Links ]
[4] S. Krygsman, Activity and Travel Choice in Multimodal Public Transport Systems. Utrecht University, 2004. [ Links ]
[5] T. McCray, "Measuring Activity and Action Space/Time: Are Our Methods Keeping Pace with Evolving Behavior Patterns?" in Integrated landuse and transportation models: behavioral foundations, Oxford: Elsevier, Chapter 4, 2005, pp. 87100. [ Links ]
[6] E. Hannes, "Does Space Matter?" in Travel Mode Scripts in Daily Activity Travel. Environment and Behavior, 2008. [ Links ]
[7] D. Janssens, "Tracking Down the Effects of Travel Demand Policies". in Urbanism on Track. Research in Urbanism Series, IOS Press, 2008. [ Links ]
[8] P. Taco, "Trip Generation Model: A New Conception Using Remote Sensing and Geographic Information Systems," in Photogrammetrie Fernerkundung Geoinformation, 2000. [ Links ]
[9] P. Jones, Developments in Dynamic and ActivityBased Approaches to Travel Analysis. Gower Publishing Company, 1990. [ Links ]
[10] L. Figueiredo, "Intelligent Transportation Systems," in IASTED International Conference Applied Simulation and Modeling. ACTA Press, 2002. [ Links ]
[11] S. Krygsman, Activity and Travel Choice in Multimodal Public Transport Systems, Utrecht University, 2004. [ Links ]
[12] T. Garling, Theoretical Foundations of Travel Choice Modeling. Pergamon, Elsevier, 1998. [ Links ]
[13] P. Stopher, Understanding Travel Behavior in an Era of Change. Pergamon, Oxford University, 1997. [ Links ]
[14] A. Soller, "Knowledge acquisition for adaptive collaborative learning environments," in American Association for Artificial Intelligence Fall Symposium, Cape Cod, MA, AAAI Press, 2000. [ Links ]
[15] P. Cassin, "Ontology Extraction for Educational Knowledge Bases," in Spring Symposium on Agent Mediated Knowledge Management, Stanford University, American Association of Artificial Intelligence, 2003. [ Links ]
[16] B. Woolf, "Knowledgebased Training Systems and the Engineering of Instruction," in Macmillan Reference, New York, Gale Group, 2000, pp. 339357. [ Links ]
[17] J. Mostow, "Some useful tactics to modify, map and mine data from intelligent tutors," Natural Language Engineering, United Kingdom, Cambridge University Press, Vol. 12, pp. 195208, 2006. [ Links ]
[18] C. Rosé, "Overcoming the knowledge engineering bottleneck for understanding student language input," in International Conference of Artificial Intelligence and Education, 2003. [ Links ]
[19] A. Jameson, "When actions have consequences: Empirically based decision making for intelligent user Interfaces," KnowledgeBased Systems, Vol. 14, pp. 7592, 2001. [ Links ]