Anonymous vehicle tracking for real-time traffic surveillance and performance on signalized arterials

Transportation Research Record

Volumn , Issue 1826, 2003, Pages 37-44

  Oh, Cheol ^a   Ritchie, Stephen G ^a  

^a University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HIGHWAY TRAFFIC CONTROL; MATHEMATICAL MODELS; MOTOR TRANSPORTATION; PATTERN RECOGNITION SYSTEMS; PERFORMANCE; PROBABILITY; REAL TIME SYSTEMS; TRAFFIC SURVEYS;

ADVANCED TRANSPORTATION MANAGEMENT AND INFORMATION SYSTEM; PARAMICS SIMULATION MODEL; REAL TIME TRAFFIC SURVEILLANCE SYSTEM; SEARCH SPACE REDUCTION; SIGNALIZED ARTERIALS; VEHICLE REIDENTIFICATION ALGORITHM;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 0141974126     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1826-06     Document Type: Article

References (27)

1. Paramics User Guides Version 3.0. Quadstone LTD, Edinburgh, United Kingdom, 2000.
2. Ritchie, S. G., and C. Sun, Section-Related Measures of Traffic System Performance: Final Report. Research Report UCB-ITS-PRR-98-33. Partners for Advanced Transit and Highways, Richmond, Calif., 1998.
3. Sun, C., S. G. Ritchie, W. Tsai, and R. Jayakrishnan, Use of Vehicle Signature Analysis and Lexicographic Optimization for Vehicle Reidentification on Freeways. Transportation Research, Part C, Vol. 7, 1999, pp. 167-185.
4. Sun, C., and S. G. Ritchie, Individual Vehicle Speed Estimation Using Single-Loop Inductive Waveforms. Journal of Transportation Engineering, ASCE, Vol. 125, No. 6, 1999, pp. 531-538.
5. Oh, C., and S. G. Ritchie, Real-Time Inductive-Signature-Based Level of Service for Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1802, TRB, National Research Council, Washington D.C., 2002, pp. 97-104.
6. Oh, S., S. G. Ritchie, and C. Oh, Real-Time Traffic Measurement from Single-Loop Inductive Signatures. In Transportation Research Record: Journal of the Transportation Research Board, No. 1804, TRB, National Research Council, Washington, D.C., 2002, pp. 98-106.
7. Cheng, H., B. Shaw, J. Palen, J. Larson, X. Hu, L. Cheng, and K. Katwyk. A Real-Time Laser-Based Prototype Detection System for Measurement of Delineation of Moving Vehicles. MOU 263: Partners for Advanced Transit and Highways; University of California, Davis, 1998.
8. MacCarley, C. A. Video-Based Vehicle Signature Analysis and Tracking System Phase 2: Algorithm Development and Preliminary Testing. MOU 350. Partners for Advanced Transit and Highways; California Polytechnique State University, San Luis Obispo, 2001.
9. Ritchie, S. G., S. Park, C. Oh, and C. Sun. Field Investigation of Advanced Vehicle Reidentification Techniques and Detector Technologies. MOU 3008. Partners for Advanced Transit and Highways; Institute of Transportation Studies, University of California, Irvine, 2001.
10. Oh, C., S. G. Ritchie, and S. Park. Development of a Real-Time Probabilistic Vehicle Reidentification Algorithm for Signalized Intersections. Working paper. Institute of Transportation Studies, University of California, Irvine, 2002.
11. Specht, D. F. Probabilistic Neural Networks and General Regression Neural Networks. In Fuzzy Logic and Neural Network Handbook (C. H. Chen, ed.), McGraw-Hill, New York, 1996.
12. Wasserman, P. D. Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York, 1996.
13. Kim, J., and J. Oh. A Land Vehicle Tracking Algorithm Using Stand-Alone GPS. Control Engineering Practice. Vol. 8, 2000, pp. 1,189-1,196.
14. Taylor, S., J. Green, and A. Richardson, Applying Vehicle Tracking and Palmtop Technology to Urban Freight. ITS-WP-98-23. Institute of Transportation Studies, University of Sydney, Australia, 1998.
15. Vlcek, C., P. McLain, and M. Murphy, GPS/Dead Reckoning for Vehicle Tracking in the "Urban Canyon" Environment. Proc., IEEE-IEE Vehicle Navigation and Information Systems Conference, Ottawa, Ontario, Canada, 1993, pp. 461, A34-A37.
16. Hossfeld, B. GPS for Vehicle Tracking. GPS World, Vol. 2, No. 9, 1991, pp. 44-46.
17. Asakura, Y., E. Hato, and M. Kashiwadani. Origin-Destination Matrices Estimation Model Using Automatic Vehicle Identification Data and Its Application to the Han-Shin Expressway Network. Transportation 27, 2000, pp. 419-438.
18. Dixon, M., and L. R. Rilett. Real-Time Origin-Destination Estimation Using Automatic Vehicle Identification Data. Presented to the 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2000.
19. van Leuven, J., M. B. van Leeuwen, and F. C. A. Groen. Real-Time Vehicle Tracking in Image Sequences. Proc., IEEE Instrumentation and Measurement Technology Conference, Vol. 3, Budapest, Hungary, 2001, pp. 2,049-2,054.
20. Leuck, H., and H. H. Nagel. Automatic Differentiation Facilitates OF-Integration into Steering-Angle-Based Road Vehicle Tracking. Proc., IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, Fort Collins, Colo., 1999, pp. 360-365.
21. Coifman, B., D. Beymer, P. Mclauchlan, and J. Malik. A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance. Transportation Research Part C, Vol. 7, 1998, pp. 271-288.
22. Fujii, A., and A. Tsukamoto. Vehicle Tracking System Using DCT for Image Extraction. Mobility for Everybody, Proc., 4th World Congress on Intelligent Transport Systems, Berlin, 1997.
23. Bullock, D. Vehicle Tracking Using Radial Basis Function Neural Networks. 29th International Symposium on Automotive Technology and Automation, Florence, Italy, 1996, in Proc., Conference on Supercomputer Applications in the Transportation Industries, 1996, pp. 211-218.
24. Kohonen, T. Self-Organizing Maps. Springer, Berlin, 2001.
25. Lee, D.-H., X. Yang, and P. Chandrasekar. Parameter Calibration for Paramics Using Genetic Algorithm. Presented at the 80th Annual Meeting of the Transportation Research Board, Washington D.C., 2001.
26. Chu, L., H. X. Liu, W. Recker, and S. Hague. Evaluation of Effectiveness of Potential ATMIS Strategies Using Microscopic Simulation. Working paper. Institute of Transportation Studies, University of California, Irvine, 2002/
27. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.