Abstract
Developing a model of the needs of a mobile traveler is critical to good personalization. Transportation planners have been modeling these needs for years, but these models have not been used to date due to two outstanding questions: 1) are they applicable to individual travelers 2) are they useful beyond the studied region. This study demonstrates these studies can directly enhance the model of mobile users, and be done in a practical way through the transference of activity patterns across cities. This work then demonstrates how these studies can be combined with patterns of an individual mobile user successfully.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Krumm, J., Horvitz, E.: Predestination: Inferring Destinations from Partial Trajectories. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 243–260. Springer, Heidelberg (2006)
Liao, L., Fox, D., Kautz, H.: Location-based activity recognition using relational Markov networks. In: Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI (2005)
Zheng, V.W., Zheng, Y., Xie, X., Yang, Q.: Collaborative location and activity recommendations with GPS history data. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 1029–1038. ACM (2010)
Williams, C.A., Mohammadian, A., Nelson, P.C., Doherty, S.T.: Mining Sequential Association Rules for Traveler Context Prediction. In: Proceedings of the First International Workshop on Computational Transportation Science held at The International Conference on Mobile and Ubiquitous Systems: Networks and Services, MOBIQUITOUS 2008 (2008)
Williams, C.A., Nelson, P.C., Mohammadian, A(K.): Attribute Constrained Rules for Partially Labeled Sequence Completion. In: Perner, P. (ed.) ICDM 2009. LNCS, vol. 5633, pp. 338–352. Springer, Heidelberg (2009)
Timmermans, H.: Progress in Activity-Based Analysis. Elsevier (2005)
Doherty, S.T., Mohammadian, A.: The Validity of Using Activity Type to Structure Tour-based Scheduling Models. In: Proc. of 86th Annual Meeting of the Transportation Research Board, Washington D.C. (January 2007)
Agrawal, R., Srikant, R.: Mining sequential patterns. In: Yu, P.S., Chen, A.S.P. (eds.) Eleventh International Conference on Data Engineering, Taipei, Taiwan, pp. 3–14. IEEE Computer Society Press (1995)
Doherty, S., Nemeth, E., Roorda, M., Miller, E.: Design and Assessment of the Toronto Area Computerized Household Activity Scheduling Survey. Journal of the Transportation Research Board 1894, 140–149 (2004)
NuStats: 2001 Atlanta Household Travel Survey: Final Report. Technical report, Atlanta Regional Commision (April 2003)
NuStats: 2002 Anchorage Household Travel Survey Technical Report. Technical report, Municipality of Anchorage (September 2002)
Frignani, M.Z., Auld, J., Mohammadian, A., Williams, C., Nelson, P.: Urban Travel Route and Activity Choice Survey (UTRACS): An internet-based prompted recall activity travel survey using GPS data. In: Proceedings of 89th Annual Meeting of the Transportation Research Board, Washington D.C. (January 2010)
Arentze, T., Hofman, F., van Mourik, H., Timmermans, H.: Spatial Transferability of the Albatross Model System: Empirical Evidence from Two Case Studies. Transportation Research Record: Journal of the Transportation Research Board 1805, 1–7 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Williams, C.A., Mohammadian, A., Auld, J., Doherty, S.T. (2013). Enhancing Traveler Context through Transferable Activity Patterns. In: Uhler, D., Mehta, K., Wong, J.L. (eds) Mobile Computing, Applications, and Services. MobiCASE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36632-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-36632-1_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36631-4
Online ISBN: 978-3-642-36632-1
eBook Packages: Computer ScienceComputer Science (R0)