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Innovations in Travel Demand Modeling, Volume 2: Papers (2008)

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Suggested Citation:"T57054 txt_077.pdf." National Academies of Sciences, Engineering, and Medicine. 2008. Innovations in Travel Demand Modeling, Volume 2: Papers. Washington, DC: The National Academies Press. doi: 10.17226/13678.
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Sutton, R. S., and A. G. Barton. 1998. Reinforcement Learn- ing: An Introduction. London: Massachusetts Institute of Technology Press. Timmermans, H. J. P., T. A. Arentze, and C.-H. Joh. 2001. Modeling Effects of Anticipated Time Pressure on Execu- tion of Activity Programs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1752, TRB, National Research Council, Washington, D.C., pp. 8–15. van der Waerden, P. J. H. J., A. W. J. Borgers, and H. J. P. Tim- mermans. 2003a. Key Events and Critical Incidents Influ- encing Transport Mode Choice Switching Behavior: An Exploratory Study. Proc., 82nd Annual Meeting of the Transportation Research Board (CD-ROM), Washington, D.C. van der Waerden, P. J. H. J., A. W. J. Borgers, and H. J. P. Tim- mermans. 2003b. The Influence of Key Events and Critical Incidents on Transport Mode Choice Switching Behaviour: A Descriptive Analysis. Proc., IATBR Conference (CD- ROM), Lucerne, Switzerland, Aug. 10–16. Verhoeven, M., T. Arentze, H. J. P. Timmermans, and P. van der Waerden. 2005a. Modeling the Impact of Key Events on Long-Term Transport Mode Choice Decisions: Decision Network Approach Using Event History Data. In Trans- portation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington, D.C., pp. 106–114. Verhoeven, M., T. A. Arentze, H. J. P. Timmermans, and P. J. H. J. van der Waerden. 2005b. Examining Temporal Effects of Life Cycle Events on Transport Mode Choice Decisions. Proc., Computers in Urban Planning and Urban Manage- ment Conference (CD-ROM), London. Vovsha, P., M. Bradley, and J. L. Bowman. 2004. Activity- Based Travel Forecasting in the United States: Progress Since 1995 and Prospects for the Future. Proc., Conference on Progress in Activity-Based Models (CD-ROM), Maas- tricht, Netherlands, May 28–31. ADDITIONAL RESOURCES Arentze, T. A., and H. J. P. Timmermans. 2003. Modeling Learning and Adaptation Processes in Activity-Travel Choice: A Framework and Numerical Experiments. Trans- portation, Vol. 30, pp. 37–62. Arentze, T. A., and H. J. P. Timmermans. 2005c. Information Gain, Novelty Seeking and Travel: A Model of Dynamic Activity-Travel Behavior Under Conditions of Uncertainty. Transportation Research A, Vol. 39, pp. 125–145. Arentze, T. A., and H. J. P. Timmermans. 2005d. A Cognitive Agent-Based Simulation Framework for Dynamic Activity- Travel Scheduling Decisions. Proc. Knowledge, Planning, and Integrated Spatial Analysis. Library Information Sci- ence Technology Abstracts. Janssens, D., G. Wets, T. Brij, K. Vanhoof, T. A. Arentze, and H. J. P. Timmermans. 2006. Integrating Bayesian Networks and Decision Trees in a Sequential Rule-Based Transporta- tion Model. European Journal of Operations Research, Vol. 175, No. 1, pp. 16–34. 77MODELING SHORT-TERM DYNAMICS IN ACTIVITY-TRAVEL PATTERNS

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TRB Conference Proceedings 42, Innovations in Travel Demand Modeling, Volume 2: Papers includes the papers that were presented at a May 21-23, 2006, conference that examined advances in travel demand modeling, explored the opportunities and the challenges associated with the implementation of advanced travel models, and reviewed the skills and training necessary to apply new modeling techniques. TRB Conference Proceedings 42, Innovations in Travel Demand Modeling, Volume 1: Session Summaries is available online.

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