Modeling measurement errors and missing initial values in freeway dynamic origin-destination estimation systems

Transportation Research Part C: Emerging Technologies

Volumn 14, Issue 6, 2006, Pages 384-402

  Lin, Pei Wei ^a   Chang, Gang Len ^b  

^a UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Dynamic origin destination matrix; Initial value; Interval Kalman filter

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; HIGHWAY TRAFFIC CONTROL; KALMAN FILTERING; MATHEMATICAL MODELS;

ESTIMATION ALGORITHM; ORIGIN-DESTINATION ESTIMATION SYSTEMS;

TRANSPORTATION;

ALGORITHM; ERROR ANALYSIS; ESTIMATION METHOD; KALMAN FILTER; MODELING; TRAFFIC CONGESTION; TRANSPORTATION PLANNING;

EID: 33845892495     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2006.10.002     Document Type: Article

References (28)

1. Ashok K., and Ben-akiva M. Dynamic origin-destination matrix estimation for real-time traffic management systems. Transportation and Traffic Theory (1993) 465-484
2. Ashok K., and Ben-akiva M. Alternative approaches for real-time estimation and prediction of time-dependent origin-destination flows. Transportation Science 34 1 (2000) 21-36
3. Bell M.G.H. The estimation of origin-destination matrices by constrained generalized least squares. Transportation Research B 25 1 (1991) 13-22
4. Bell M.G.H. The real-time estimation of origin-destination flows in the presence of platoon dispersion. Transportation Research B 25 2/3 (1991) 115-125
5. Cascetta E. Estimation of trip matrices from traffic counts and survey data: a generalized least squares estimator. Transportation Research B 18 4/5 (1984) 289-299
6. Cascetta E., Inaudi D., and Marguis G. Dynamic estimators of origin-destination matrices using traffic counts. Transportation Science 27 (1993) 363-373
7. Chang G.-L., and Wu J. Recursive estimations of time-varying origin-destination flows from traffic counts in freeway corridors. Transportation Research B 28 2 (1994) 141-160
8. Chang G.-L., and Tao X. Estimation of dynamic O-Ds for urban networks. Transportation and Traffic Flow Theory 13 (1996) 1-20
9. Chang G.-L., and Tao X. An integrated model for estimating time-varying network origin-destination distributions. Transportation Research A 33 5 (1999) 381-399
10. Chen G., Wang J., and Ghieh L.S. Interval Kalman filtering. IEEE Transactions on Aerospace and Electronic Systems 33 1 (1997) 250-258
11. Chui C.K., and Chen G. Kalman Filtering with Real-time Applications (1999), Springer-Verlag, New York
12. Cremer M., and Keller H. A new class of dynamic methods for the identification of origin-destination flows. Transportation Research B 21 2 (1987) 117-132
13. Cremer, M., Keller, H., 1981. Dynamic identification of O-D flows from traffic counts at complex intersections. In: The Proceeding of the 8th International Symposium on Transportation and Traffic Theory.
14. Cremer, M., Keller, H., 1984. A systems dynamics approach to the estimation of entry and exit O-D flows. In: The Proceeding of the 9th International Symposium on Transportation and Traffic Theory, pp. 431-450.
15. Hazelton M. Estimation of origin-destination matrices from link flows on uncongested networks. Transportation Research B 34 7 (2000) 549-566
16. Keller H., and Ploss G. Real-time identification of O-D network flow from counts for urban traffic control. Transportation and Traffic Theory (1987) 267-284
17. Lin, P.W., Chang, G.-L., 2005. A Decomposition Algorithm for Estimating the Initial O-D Matrix in a Large Freeway Network. Work Paper, 2005.
18. Lin P.W., and Chang G.-L. A robust model for estimating freeway dynamic origin-destination matrix. Transportation Research Record 1923 (2005) 110-118
19. Nihan N.L., and Davis G.A. Application of prediction-error minimization and maximum likelihood to estimate intersection O-D matrices from traffic counts. Transportation Science 23 (1987) 77-90
20. Nihan N.L., and Davis G.A. Recursive estimation of origin-destination matrices from input/output counts. Transportation Research B 21 (1987) 149-163
21. Nihan N.L., and Davis G.A. Application of prediction-error minimization and maximum likelihood to estimate intersection O-D matrices from traffic counts. Transportation Science 23 (1989) 77-90
22. Sherali H.D., and Park T. Estimation of dynamic origin-destination trip tables for a general network. Transportation Research B 35 (2001) 217-235
23. Tavana, H., Mahmassani, H., 2000. Estimation of dynamic origin-destination flows from sensor data using bi-level optimization method. In: Proceeding of the 80th Annual Meeting of the Transportation Research Board.
24. Tedi, 2001. TSS-Transportation Simulation Systems, GETRAM Operation Traffic Simulation Environment -Version 4.0 User Manual.
25. Willumsen, L.G., 1984. Estimation time-dependent trip matrices from traffic counts. In: Proceeding of the 9th international symposium on transportation and traffic theory, pp. 397-411.
26. Wu J., and Chang G.-L. Estimation of time-varying origin-destination distributions with dynamic screenline flows. Transportation Research B 30 (1996) 277-290
27. Yang H., Meng Q., and Bell M.G.H. Simultaneous estimation of the origin-destination matrices and travel-cost coefficient for congested networks in a stochastic use equilibrium. Transportation Science 35 (2001) 107-123
28. Zhou, X., Mahmassani, H.S., 2005. Dynamic origin-destination demand estimation using automatic vehicle identification data. In: The Proceeding of the 84th Annual Meeting of the Transportation Research Board.