Artificial neural network method for length-based vehicle classification using single-loop outputs

Transportation Research Record

Volumn , Issue 1945, 2006, Pages 100-108

  Zhang, Guohui ^a   Wang, Yinhai ^a   Wei, Heng ^b  

^a University of Washington   (United States)

^b 705 Engineering Research Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; HIGHWAY TRAFFIC CONTROL; MOTOR TRANSPORTATION; PAVEMENTS; STRUCTURAL DESIGN;

NEURAL NETWORK; SINGLE LOOP MEASUREMENTS; TRAFFIC FLOW; VEHICLE CLASSIFICATION;

NEURAL NETWORKS;

EID: 33845302645     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1945-12     Document Type: Conference Paper

References (24)

1. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
2. AASHTO Guide for Design of Pavement Structures. AASHTO, Washington, D.C., 1993.
3. National Center for Statistics and Analysis. Traffic Safety Facts 2003. National Highway Traffic Safety Administration, U.S. Department of Transportation, Washington, D.C., 2005.
4. Wang, Y., and N. L. Nihan. Dynamic Estimation of Freeway Large-Truck Volumes Based on Single-Loop Measurements. Journal of Intelligent Transportation Systems, Vol. 8, No. 3,2004, pp. 133-141.
5. Athol, P. Interdependence of Certain Operational Characteristics Within a Moving Traffic Stream. In Highway Research Record 72, HRB, National Research Council, Washington, D.C., 1965, pp. 58-87.
6. Coifman, B., S. Dhoorjaty, and Z. Lee. Estimating Median Velocity Instead of Mean Velocity at Single Loop Detectors. Transportation Research C, Vol. 11, No. 3, 2003, pp. 211-222.
7. Wang, Y., and N. L. Nihan. Can Single-Loop Detectors Do the Work of Dual-Loop Detectors? ASCE Journal of Transportation Engineering, Vol. 129, No. 2, 2003, pp. 169-176.
8. Coifman, B. Improved Velocity Estimation Using Single Loop Detectors. Transportation Research A, Vol. 35, No. 10, 2001, pp. 863-880.
9. Hellinga, B. R. Improving Freeway Speed Estimates from Single-Loop Detectors. Journal of Transportation Engineering, Vol. 128, No. 1, 2002, pp. 58-67.
10. Wang, Y., and N. L. Nihan. Freeway Traffic Speed Estimation with Single-Loop Outputs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1727, TRB, National Research Council, Washington, D.C., 2000, pp. 120-126.
11. Mikhalkin, B., H. J. Payne, and L. Isaksen. Estimation of Speed from Presence Detectors. In Highway Research Record 388, HRB, National Research Council, Washington, D.C., 1972, pp. 73-83.
12. Dailey, D. J. A Statistical Algorithm for Estimating Speed from Single Loop Volume and Occupancy Measurements. Transportation Research B, Vol. 33, No. 5, 1999, pp. 313-322.
13. Pushkar, A., F. L. Hall, and J. A. Acha-Daza. Estimation of Speeds from Single-Loop Freeway Flow and Occupancy Data Using Cusp Catastrophe Theory Model. In Transportation Research Record 1457, TRB, National Research Council, Washington, D.C., 1994, pp. 149-157.
14. Sun, C., and S. G. Ritchie. Individual Vehicle Speed Estimation Using Single Loop Inductive Waveforms. Journal of Transportation Engineering, Vol. 125, No. 6, 1999, pp. 531-538.
15. Kwon, J., P. Varaiya, and A. Skabardonis. Estimation of Truck Traffic Volume from Single Loop Detector with Lane-to-Lane Speed Correlation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 106-117.
16. Cheung S. Y., S. Coleri, B. Dundar, S. Ganesh, C.-W. Tan, and P. Varaiya. Traffic Measurement and Vehicle Classification with Single Magnetic Sensor. In Transportation Research Record: Journal of the Transportation Research Board, No. 1917, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 173-181.
17. Mittal, N., M. Golias, M. Boile, L. Spasovic, and K. Ozbay. Estimating Truck Volumes on State Highways: Statistical Approach. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
18. Suykens, J. A. K., J. P. L. Vandewalle, and B. L. R. De Moor. Artificial Neural Networks for Modeling and Control of Non-linear System. Kluwer Academic Publishers, Dordrecht, Netherlands, 1996.
19. Haykin, S. Neural Networks: A Comprehensive Foundation, 2nd ed. McMaster University, Hamilton, Ontario, Canada, 1999.
20. Abdulhai, B., and S. Ritchie. Enhancing the Universality and Transferability of Freeway Incident Detection Using a Bayesian-Based Neural Network. Transportation Research C, Vol. 7, No. 5, 1999, pp. 261-280.
21. Hooshdar, S., and H. Adeli. Toward Intelligent Variable Message Signs in Freeway Work Zones: Neural Network Model. Journal of Transportation Engineering, Vol. 130, No. 1, 2004, pp. 83-93.
22. Cheu, R. L., D. Srinivasan, and W. H. Loo. Training Neural Networks to Detect Freeway Incidents by Using Particle Swarm Optimization. In Transportation Research Record: Journal of the Transportation Research Board, No. 1867, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 11-18.
23. Teng, H., Y. Qi, and D. R. Martinelli. Developed Incident Detection Algorithm Compared with Neural Network Algorithms. In Transportation Research Record: Journal of the Transportation Research Board, No. 1836, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 83-92.
24. Jain, L. C. Innovative Teaching and Learning: Knowledge-Based Paradigms. University of South Australia, Mawson Lakes, Australia, 2000.