Florida activity mobility simulator overview and preliminary validation results

Transportation Research Record

Volumn , Issue 1921, 2005, Pages 123-130

  Pendyala, Ram M ^a   Kitamura, Ryuichi ^b   Kikuchi, Akira ^b   Yamamoto, Toshiyuki ^c   Fujii, Satoshi ^d  

^a University of South Florida   (United States)

^b KYOTO UNIVERSITY   (Japan)

^c NAGOYA UNIVERSITY   (Japan)

^d TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FORECASTING; MATHEMATICAL MODELS; TRANSPORTATION;

ACTIVITY-BASED MODEL SYSTEMS; FLORIDA ACTIVITY MOBILITY SIMULATOR (FAMOS); PRISM-CONSTRAINED ACTIVITY-TRAVEL SIMULATOR;

AUTOMOBILE SIMULATORS;

EID: 33645319195     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1921-14     Document Type: Review

References (28)

1. Axhausen, K. W., and T. Gärling. Activity-Based Approaches to Travel Analysis: Conceptual Frameworks, Models, and Research Problems. Transport Reviews, Vol. 12, No. 4, 1992, pp. 323-341.
2. Goulias, K. G. (ed.). Transportation Systems Planning: Methods and Applications. CRC Press, Boca Raton, Fla., 2003.
3. Arentze, T., and H. Timmermans. Albatross 2.0: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven University of Technology, Netherlands, 2005.
4. Bhat, C. R., J. Y. Guo, S. Srinivasan, and A. Sivakumar. Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. In Transportation Research Record: Journal of the Transportation Research Board, No. 1894, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 57-66.
5. Kitamura, R., C. Chen, and R. M. Pendyala. Generation of Synthetic Daily Activity-Travel Patterns. In Transportation Research Record 1607, TRB, National Research Council, Washington, D.C., 1997, pp. 154-162.
6. Kitamura, R., C. Chen, R. M. Pendyala, and R. Narayanan. Microsimulation of Activity-Travel Patterns for Travel Demand Forecasting. Transportation, Vol. 27, No. 1, 2000, pp. 25-51.
7. Pendyala, R. M., R. Kitamura, and D. V. G. P. Reddy. Application of an Activity-Based Travel Demand Model Incorporating a Rule-Based Algorithm. Environment and Planning B: Planning and Design, Vol. 25, 1998, pp. 753-772.
8. Vovsha, P. S. Lessons Learned from Applications of Activity-Based Approaches. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
9. Miller, E. J. Microsimulation. In Transportation Systems Planning: Methods and Applications (K. G. Goulias, ed.). CRC Press, Boca Raton, Fla., 2003, pp. 12-1-12-22.
10. Kitamura, R., T. Yamamoto, K. Kishizawa, and R. M. Pendyala. Stochastic Frontier Models of Prism Vertices. In Transportation Research Record: Journal of the Transportation Research Board, No. 1718, TRB, National Research Council, Washington, D.C., 2000, pp. 18-26.
11. Pendyala, R. M., T. Yamamoto, and R. Kitamura. On the Formulation of Time-Space Prisms to Model Constraints on Personal Activity-Travel Engagement. Transportation, Vol. 29, No. 1, 2002, pp. 73-94.
12. Gärling, T., D. Eek, P. Loukopoulos, S. Fujii, O. Johansson-Stenman, R. Kitamura, R. M. Pendyala, and B. Vilhelmson. A Conceptual Analysis of the Impact of Travel Demand Management on Private Car Use. Transport Policy. Vol. 9, 2002, pp. 59-70.
13. Pendyala, R. M., R. Kitamura, C. Chen, and E. I. Pas. An Activity-Based Microsimulation Analysis of Transportation Control Measures. Transport Policy, Vol. 4, No. 3, 1997, pp. 183-192.
14. Kitamura, R., S. Fujii, T. Yamamoto, and A. Kikuchi. Application of PCATS/DEBNetS to Regional Planning and Policy Analysis: Micro-Simulation Studies for the Cities of Osaka and Kyoto, Japan. In Proc., Seminar F, European Transport Conference, PTRC Education and Research Services Ltd., London, 2000, pp. 199-210.
15. Beckman, R. J., K. A. Baggerly, and M. D. McKay. Creating Synthetic Baseline Populations. Transportation Research A, Vol. 30, 1996, pp. 415-429.
16. Hägerstrand, T. What About People in Regional Science? Papers of the Regional Science Association, Vol. 24, 1970, pp. 7-21.
17. Yamamoto, T., R. Kitamura, and R. M. Pendyala. Comparative Analysis of Time-Space Prism Vertices for Out-of-Home Activity Engagement on Working and Non-Working Days. Environment and Planning B: Planning and Design, Vol. 31, No. 2, 2004, pp. 235-250.
18. Yamamoto, T., R. Kitamura, and K. Kishizawa. Sampling Alternatives From a Colossal Choice Set: An Application of the MCMC Algorithm. In Transportation Research Record: Journal of the Transportation Research Board, No. 1752, TRB, National Research Council, Washington, D.C., 2001, pp. 53-61.
19. Gangrade, S., K. Kasturirangan, and R. M. Pendyala. A Coast-to-Coast Comparison of Time Use and Activity Patterns. In Transportation Research Record: Journal of the Transportation Research Board, No. 1718, TRB, National Research Council, Washington, D.C., 2000, pp. 34-42.
20. Gangrade, S., R. M. Pendyala, and R. G. McCullough. Nested Logit Model of Commuters' Activity Schedules. Journal of Transportation and Statistics, Vol. 5, No. 2-3, 2002, pp. 19-36.
21. Schmidt, P., and A. Witte. Predicting Criminal Recidivism Using Split Population Survival Time Models. Journal of Econometrics, Vol. 40, 1989, pp. 141-159.
22. Kasturirangan, K., R. M. Pendyala, and F. S. Koppelman. Role of History in Modeling Daily Activity Frequency and Duration for Commuters. In Transportation Research Record: Journal of the Transportation Research Board, No. 1807, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 129-136.
23. Arentze, T., A. Borgers, F. Hofman, S. Fujii, C. Joh, A. Kikuchi, R. Kitamura, H. Timmermans, and P. van der Waerden. Rule-Based Versus Utility Maximizing Models of Activity-Travel Patterns: A Comparison of Empirical Performance. In Travel Behaviour Research: The Leading Edge (D. Hensher, ed.). Elsevier Science Ltd., Oxford, United Kingdom, 2001, pp. 569-584.
24. Pendyala, R. M., and C. R. Bhat. An Exploration of the Relationship Between Timing and Duration of Maintenance Activities. Transportation, Vol. 31, No. 4, 2004, pp. 429-456.
25. Tringides, C., X. Ye, and R. M. Pendyala. Departure Time Choice and Mode Choice for Nonwork Trips: Alternative Formulations of Joint Model Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1898, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 1-9.
26. Ye, X., R. M. Pendyala, and G. Gottardi. An Exploration of the Relationship Between Mode Choice and Complexity of Trip Chaining Patterns. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
27. Vovsha, P., E. Peterson, and R. M. Donnelly. Explicit Modeling of Joint Travel by Household Members: Statistical Evidence and Applied Approach. In Transportation Research Record: Journal of the Transportation Research Board, No. 1831, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 1-10.
28. Pendyala, R. M., and S. Meka. Modeling Time and Task Allocation Among Household Members for Simulating Household Activity Travel Patterns. In Traffic and Transportation Studies: Proc., 3rd International Conference on Traffic and Transportation Studies (K. C. P. Wang, G. Xiao, L. Nie, and H. Yang, eds.), American Society of Civil Engineers, Reston, Va., 2002, pp. 738-745.