Developments and applications of simulation-based online travel time prediction system: Traveling to Ocean City, Maryland

Transportation Research Record

Volumn , Issue 1959, 2006, Pages 92-104

  Liu, Ying ^a   Lin, Pei Wei ^a   Lai, Xiaorong ^a   Chang, Gang Len ^a   Marquess, Alvin ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Maryland Department of Transportation State Highway Administration   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; COST EFFECTIVENESS; DATA PROCESSING; PARAMETER ESTIMATION;

DATA FILTERING; SIMULATION FUNCTION; TRAVEL TIME PREDICTION SYSTEM;

ONLINE SYSTEMS;

EID: 33846118451     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1959-11     Document Type: Conference Paper

References (27)

1. Emergency Operations Plan. Town of Ocean City, Md., Dec. 2002.
2. Roden, D. B. Forecasting Travel Time. In Transportation Research Record 1518, TRB, National Research Council, Washington, D.C., 1996. pp. 7-12.
3. D'Angelo, M. P., H. M. Al-Deek, and M. C. Wang. Travel-Time Prediction for Freeway Corridors. In Transportation Research Record: Journal of the Transportation Research Board, No. 1676, TRB, National Research Council, Washington, D.C., 1999, pp. 184-191.
4. Rilett, L. R., and D. Park. Direct Forecasting of Freeway Corridor Travel Times Using Spectral Basis Neural Networks. In Transportation Research Record: Journal of the Transportation Research Board, No. 1752, TRB, National Research Council, Washington, D.C., 2001, pp. 140-147.
5. Chen, M., and S. I. J. Chien. Dynamic Freeway Travel-Time Prediction Using Probe Vehicle Data: Link Based Versus Path Based. In Transportation Research Record: Journal of the Transportation Research Board, No. 1768, TRB, National Research Council, Washington, D.C., 2001, pp. 157-161.
6. Chien, S., and C. M. Kuchipudi. Dynamic Travel Time Prediction with Real-Time and Historic Data. Journal of Transportation Engineering, Vol. 129, No. 6, 2003, pp. 608-616.
7. Payne, H. J., E. D., Helfenbein, and H. C., Knobel. Development and Testing of Incident Detection Algorithms. FHWA-RD-76-20. FHWA, U.S. Department of Transportation, 1976.
8. Jacobson, L. N., N. L. Nihan, and J. D. Bender. Detecting Erroneous Loop Detector Data in a Freeway Traffic Management System. In Transportation Research Record 1287, TRB, National Research Council, Washington, D.C., 1990, pp. 151-166.
9. Chen, C., J. Kwon, J. Rice, A. Skabardonis, and P. Varaiya. Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1855, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 160-167.
10. Smith, B. L., and J. H. Conklin. Use of Local Lane Distribution Patterns to Estimate Missing Data Values from Traffic Monitoring Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1811, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 50-56.
11. Conklin, J. H., and W. T. Scherer. Data Imputation Strategies for Transportation Management Systems. UVACTS-13-0-80. University of Virginia, Charlottesville, 2003.
12. Bickel, P., C. Chen, J. Kwon, J. Rice, E. van Zwet, and P. Varaiya. Measuring Traffic. 2004. stat-www.berkeley.edu/~rice/traffic.pdf. Accessed May 2005.
13. Chang, G. L., Y. L. Li, H. J. Payne, and S. O. Ritchie. Incident Detection Issues Task A Report: Automatic Freeway Incident Detection, A State-of-the-Art Review. FHWA, U.S. Department of Transportation, 1993.
14. Teng, H., and Y. Qi. Application of Wavelet Technique to Freeway Incident Detection. Transportation Research Part C, Vol. 11, 2003. pp. 289-308.
15. Abdulhai, B., and S. G. Ritchie. Development of a Universally Transferable Freeway Incident Detection Framework. Presented at 76th Annual Meeting of the Transportation Research Board, Washington, D.C., 1997.
16. Static and Dynamic Travel Time Estimation and Incident Detection Software of ADVANCE: Algorithms and Supporting Research, http://ais.itsprogram.anl.gov/ advance/reports/travel.time.software.html. Accessed May 2005
17. Luk, J. Y. K., E. C. S. Chung, and F. Y. C. Sin. Characterization of Incidents on an Urban Arterial Road. Journal of Advanced Transportation, Vol. 35, No. 1, 2001, pp. 67-92.
18. Theil, H. Applied Economic Forecasting. North-Holland, Amsterdam, 1966.
19. Park, B., and J. D. Schneeberger. Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 185-192.
20. Park, B., and H. Qi. Development and Evaluation of a Procedure for the Calibration of Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 208-217.
21. Merritt, E.V. Calibration and Validation of CORSIM for Swedish Road Traffic Conditions. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
22. Jayakrishnan, R., J. S. Oh, and A. E. K. Sahraoui. Calibration and Path Dynamics Issues in Microscopic Simulation for Advanced Traffic Management and Information Systems. Technical Report UCI-ITS-WP-00-22. University of California, Irvine, 2001.
23. Zhang, L., J. Colyar, J. Halkias, and Y. Zhang. Validation and Calibration of CORSIM Traffic Simulation Model at Signalized Intersections. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
24. Toledo, T., H. N. Koutsopoulos, A. Davol, M. E. Ben-Akiva, W. Burghout, I. Andreasson, T. Johansson, and C. Lundin. Calibration and Validation of Microscopic Traffic Simulation Tools: Stockholm Case Study. In Transportation Research Record: Journal of the Transportation Research Board, No. 1831, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 65-75.
25. Barcelo, J. Methodological Notes on the Calibration and Validation of Microscopic Traffic Simulation Models. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
26. Kim, K.-O., and L. R. Rilett. Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1855, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 80-89.
27. Kim, K.-O., and L. R. Rilett. Genetic Algorithm-Based Approach to Traffic Microsimulation Calibration Using ITS Data. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington. D.C., 2004.