Empirical innovation of computational dual-loop models for identifying vehicle classifications against varied traffic conditions

Computer-Aided Civil and Infrastructure Engineering

Volumn 28, Issue 8, 2013, Pages 621-634

  Wei, Heng ^a   Liu, Hao ^a   Ai, Qingyi ^a   Li, Zhixia ^b   Xiong, Hui ^c   Coifman, Benjamin ^d  

^a 705 Engineering Research Center   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

^d The Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INNOVATIVE APPROACHES; K-MEANS CLUSTERING METHOD; MICROSCOPIC SIMULATION MODELS; PHASE IDENTIFICATION; TRAFFIC CHARACTERISTICS; TRAFFIC CONDITIONS; VEHICLE CLASSIFICATION; VEHICULAR TRAJECTORIES;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTER SIMULATION; MOTOR TRANSPORTATION;

VEHICLES;

ACCURACY ASSESSMENT; ALGORITHM; CLUSTER ANALYSIS; COMPUTER SIMULATION; NUMERICAL MODEL; TESTING METHOD; TRAFFIC CONGESTION; TRANSPORT VEHICLE;

EID: 84880613334     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/mice.12015     Document Type: Article

References (43)

1. Athol, P. (1965), Interdependence of certain operational characteristics within a moving traffic stream, Highway Research Record, 72, 58-87.
2. Banks, J. H. (2002), Review of empirical research on congested freeway flow, Transportation Research Record No. 1802, Paper No. 02-2472, 225-32.
3. Cassidy, M. J. (2003), Traffic flow and capacity, Handbook of Transportation Science, International Series in Operations Research & Management Science, 56(3), 155-91, DOI: 10.1007/0-306-48058-1-6.
4. th World Congress on Intelligent Transportation Systems, San Francisco.
5. Coifman, B. & Dhoorjaty, S. (2004), Event data based traffic detector validation tests, Journal of Transportation Engineering, 130(3), 313-21.
6. th Transportation Research Board Annual Meeting, Washington, 3rd edn. DC.
7. Edie, L. C. (1961), Car following and steady-state theory for non-congested traffic, Operation Research, 9, 66-76.
8. Ellis, R. H. (1964), Analysis of Linear Relationships in Speed-Density and Speed-Occupancy Curves. Northwestern University, Evanston, IL.
9. FHWA (Federal Highway Administration (2006), Traffic Detector Handbook, 3rd edn. Federal Highway Administration, Washington DC.
10. Greenberg, H. (1959), An analysis of traffic flow, Operation Research, 7, 78-85.
11. Greenshields, B. D. (1935), A study in highway capacity, in Proceedings of 14th Highway Research Board Annual Meeting, Washington DC, 14, 448-77.
12. th Annual Meeting of the Transportation Research Board, Washington DC.
13. Hall, F. L. & Gunter, M. A. (1986), Further analysis of the flow-concentration relationship, Transportation Research Record: Journal of the Transportation Research Board, No. 1091, pp. 1-9.
14. Hall, F. L., Hurdle, V. F. & Banks, J. H. (1992), Synthesis of recent work on the nature of speed-flow and flow-occupancy (or density) relationships on freeways, Transportation Research Record: Journal of the Transportation Research Board, No. 1365, pp. 12-18.
15. Jain, A. K. (2010), Data clustering: 50 years beyond K-means, Pattern Recognition Letters, 31, 651-66.
16. Kerner, B. S. (1998), Experimental features of self-organization in traffic flow, Physical Review Letters, 81(17), 3797-800.
17. Kerner, B. S. (2009), Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory, Springer, Sindelfingen, Germany.
18. Kerner, B. S. & Klenov, S. L. (2010), Explanation of complex dynamics of congested traffic in NGSIM-data with three-phase traffic theory, in Proceedings of 89th Transportation Research Board Annual Meeting, Washington DC.
19. Kerner, B. S. & Konhäuser, P. (1994), Structure and parameters of clusters in traffic flow, Physical Review E, 50(1), 54-83.
20. van Lint, J. W. C. & Hoogendoorn, S. P. (2010), A robust and efficient method for fusing heterogeneous data from traffic sensors on freeways, Computer-Aided Civil and Infrastructure Engineering, 25, 596-612.
21. May, A. D. (1990), Traffic Flow Fundamentals, Prentice-Hall, Englewood Cliffs, NJ.
22. Neubert, L., Santen, L., Schadschneider, A. & Schreckenberg, M. (1999), Single-vehicle data of highway traffic: a statistical analysis, Physical Review E, 60(6), 6480-90.
23. Nihan, N. L., Wang, Y. H. & Cheevarunothai, P. (2006), Improving Dual-Loop Truck (and Speed) Data: Quick Detection of Malfunctioning Loops and Calculation of Required Adjustments, Research Report, TNW.
24. Nihan, N. L., Zhang, X. & Wang, Y. (2002), Evaluation of Dual-Loop Data Accuracy Using Video Ground Truth Data, Research Report, TNW.
25. Peláez Coronado, G. A., Muñoz, M. R., Armingol, J. M., de la Escalera, A., Muñoz, J. J., van Bijsterveld, W. & Bolaño, J. A. (2012), Detection and classification of road signs for automatic inventory systems using computer vision, Integrated Computer-Aided Engineering, 19(3), 285-98.
26. Polus, A. & Pollatschek, M. (2002), Stochastic nature of freeway capacity and its estimation, Canadian Journal of Civil Engineering, 29, 842-52.
27. Sun, L. & Zhuo, J. (2005), Development of multiregime speed-density relationships by cluster analysis, Transportation Research Record: Journal of the Transportation Research Board, No. 1934, pp. 64-71.
28. TRB (Transportation Research Board) (2010), 2010 Highway Capacity Manual, 5th edn, TRB, National Research Council, Washington DC.
29. Treiber, M., Hennecke, A. & Helbing, D. (2000), Congested traffic states in empirical observations and microscopic simulations, Physical Revieew E, 62(2), 1805-24.
30. Treiber, M. & Kesting, A. (2011), Reconstructing the traffic state by fusion of heterogeneous data, Computer-Aided Civil and Infrastructure Engineering, 26, 408-19.
31. Tsai, Y. & Huang, Y. (2010), Automatic detection of deficient video log images using a histogram equity index and an adaptive Gaussian mixture model, Computer-Aided Civil and Infrastructure Engineering, 25(7), 479-93.
32. Tsai, Y. & Huang, Y. (2012), A generalized framework for parallelizing traffic sign inventory of video log images using multi-core processors, Computer-Aided Civil and Infrastructure Engineering, 27(7), 476-93.
33. TTI (Texas Transportation Institute) (1998), Travel Time Data Collection Handbook, Report No. FHWA-PL-98-035, Federal Highway Administration, Washington DC.
34. Underwood, R. T. (1961), Speed, volume, and density relationships: quality and theory of traffic flow, Yale Bureau of Highway Traffic, New Haven, CT, 141-88.
35. Wei, H., Ai, Q., Deogratias Eustace, D. & Yi, P. (2009), Optimal Loop Placement and Models for Length-Based Vehicle Classification and Stop-and-Go Traffic, Ohio Transportation Consortium (OTC) Research Project Report, Akron, OH.
36. Wei, H., Ai, Q., Eustace, E. & Coifman, B. (2010), Length-based vehicle classification models using dual-loop data against stop-and-go traffic flow, in Proceedings of 89th Transportation Research Board Annual Meeting, Washington DC.
37. Wei, H., Meyer, E., Lee, J. & Feng, C. E. (2005), Video-capture-based approach to extract multiple vehicular trajectory data for traffic modeling, ASCE Journal of Transportation Engineering, 131(7), 496-505.
38. Wemple, E. A., Morris, A. M. & May, A. D. (1991), Freeway capacity and level of service concepts, in Highway Capacity and Level of Service Proceedings of the International Symposium on Highway Capacity, Karlsruhe, Germany, 439-55.
39. Xia, J. & Chen, M. (2004), Defining traffic flow phases using ITS-generated data, Journal of Intelligent Transportation Systems, 11(1), 15-24.
40. Xia, J. & Chen, M. (2007), A nested clustering technique for freeway operating condition classification, Computer-Aided Civil and Infrastructure Engineering, 22, 430-37.
41. Zhang, X., Wang, Y., Nihan, N. L. & Hallenbeck, M. E. (2003), Development of a system to collect loop detector event (individual vehicle) data, Transportation Research Record: Journal of the Transportation Research Board, No. 1855, pp. 168-75.
42. Zhang, Y., Ye, Z. & Xie, Y. (2008), Estimation of large truck volume using single loop detector data, in Proceedings of 87th Transportation Research Board Annual Meeting, Washington DC.
43. Zhu, W., Boriboonsomsin, K. & Barth, M. (2010), Estimating truck traffic speed from single-loop detector data, in Proceedings of 89th Transportation Research Board Annual Meeting, Washington DC.