Effects of Less-Equilibrated Data on Travel Choice Model Estimation

Transportation Research Record

Volumn , Issue 1831, 2003, Pages 131-140

  Oh, Jun Seok ^a   Cortés, Cristián E ^b   Recker, Will ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; DATA REDUCTION; ESTIMATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; SAMPLING; STATISTICS;

MODEL COEFFICIENTS; TRAVELER BEHAVIOR;

TRANSPORTATION;

EID: 1642354310     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1831-15     Document Type: Conference Paper

References (12)

1. Ben-Akiva, M., and S. Lerman. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, Mass., 1985.
2. Small, K. The Scheduling of Consumer Activities: Work Trips. The American Economic Review, 1982, pp. 467-479.
3. Hendrickson, C., and E. Plank. The Flexibility of Departure Times for Work Trips. Transportation Research A, Vol. 18, 1984, pp. 25-36.
4. Daganzo, C., and Y. Sheffi. On Stochastic Models of Traffic Assignment Model. Transportation Science, 1977, pp. 253-274.
5. De Palma, A., M. Ben-Akiva, C. Lefevre, and N. Litinas. Stochastic Equilibrium Model of Peak Period Traffic Congestion. Transportation Science, Vol. 17, 1983, pp. 253-274.
6. Ben-Akiva, M., M. Cyna, and A. de Palma. Dynamic Models of Peak Period Traffic Congestion. Transportation Research B, Vol. 18, 1984, pp. 339-355.
7. Cascetta, E. A Stochastic Process Approach to the Analysis of Temporal Dynamics in Transportation Networks. Transportation Science, Vol. 29, 1989, pp. 305-329.
8. Mahmassani, H., and G. Chang. Experiments with Departure Time Choice Dynamics of Urban Commuters. Transportation Research B, Vol.20, 1986, pp. 297-320.
9. Jayakrishnan, R., H. Mahmassani, and T. Hu. An Evaluation Tool for Advanced Traffic Information and Management Systems for Urban Networks. Transportation Research C, Vol. 2, 1994, pp. 25-36.
10. Hu, T., and H. Mahmassani. Day-to-Day Evolution of Network Flows Under Real-Time Information and Reactive Signal Control. Transportation Research C, Vol. 5, 1997, pp. 51-69.
11. McFadden, D. Conditional Logit Analysis of Qualitative Choice Behavior. In Frontiers in Econometrics (P. Zarembka, ed.), Academic Press, New York, 1973, pp. 105-142.
12. Brownstone, D., and K. Small. Efficient Estimation of Nested Logit Models. Journal of Business and Economic Statistics, Vol. 7, No. 1, 1989, pp. 67-74.