Training neural networks to detect freeway incidents by using particle swarm optimization

Transportation Research Record

Volumn , Issue 1867, 2004, Pages 11-18

  Cheu, Ruey Long ^a   Srinivasan, Dipti ^a   Loo, Wee Hoon ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENTS; ALGORITHMS; AUTOMATION; BACKPROPAGATION; DATA REDUCTION; HIGHWAY SYSTEMS; OPTIMIZATION; TRAFFIC CONTROL;

AUTOMATIC INCIDENT DETECTION (AID); FALSE ALARM RATES (FAR); PARTICLE SWARM OPTIMIZATION (PSO); TRAFFIC MANAGEMENT CENTER (TMC);

NEURAL NETWORKS;

EID: 10944232643     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1867-02     Document Type: Conference Paper

References (16)

1. Payne, H. J., E. D. Helfenbein, and H. C. Knobel. Development and Testing of Incident Detection Algorithms. Vol. 2, Research Methodol-ogy and Results. Report FHWA-RD-76-20. FHWA, U.S. Department of Transportation, 1976.
2. Persaud, B. N., and F. L. Hall. Catastrophe Theory and Patterns in 30-Second Freeway Traffic Data: Implication for Incident Detection. Transportation Research, Vol. 23A, No. 2, 1989, pp. 103-113.
3. Stephanedes, Y. J., and A. P. Chassiakos. Freeway Incident Detection Through Filtering. Transportation Research, Vol. 1C, No. 3, 1993, pp. 219-233.
4. Cheu, R. L., and S. G. Ritchie. Automated Detection of Lane-Blocking Freeway Incidents Using Artificial Neural Networks. Transportation Research, Vol. 3C, No. 6, 1996, pp. 371-388.
5. Abdulhai, B., and S. G. Ritchie. Enhancing the Universality and Transferability of Freeway Incident Detection Using a Bayesian-Based Neural Network. Transportation Research, Vol. 7C, No. 5, 1999, pp. 261-280.
6. Jin, X., R. L. Cheu, and D. Srinivasan. Development and Adaptation of Constructive Probabilistic Neural Network in Freeway Incident Detection. Transportation Research, Vol. 10C, No. 2, 2002, pp. 121-147.
7. Hsiao, C. H., C. T. Lin, and M. Cassidy. Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents. Journal of Transportation Engineering, Vol. 120, No. 5, 1994, pp. 753-772.
8. Adeli, H., and A. Karim. Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection. Journal of Transportation Engineering. Vol. 126, No. 6, 2000, pp. 464-471.
9. Engelbrecht, A. P. Computational Intelligence. John Wiley & Sons, West Sussex, United Kingdom, 2002.
10. Kennedy, J., R. C. Eberhart, and Y. Shi. Swarm Intelligence. Morgan Kaufmann, San Francisco, Calif., 2001.
11. Particle Swarm Central, www.particleswarm.net/papers.html. Accessed May 24, 2003.
12. Haykin, S. Neural Networks. Prentice Hall, Upper Saddle River, N.J., 1999.
13. Proc., IEEE Swarm Intelligence Symposium. IEEE Neural Networks Society, April 24-26, Indianapolis, Ind., 2003.
14. Gudise, V. G., and G. K. Venayagamoorthy. Comparison of Particle Swarm Optimization and Backpropagation as Training Algorithms for Neural Networks. Proc., IEEE Swarm Intelligence Symposium, IEEE Neural Networks Society, April 24-26, Indianapolis, Ind., pp. 110-117.
15. Shi, Y., and R. Eberhart. A Modified Particle Swarm Optimizer. In Proc., IEEE World Congress on Computational Intelligence, IEEE, 1998, pp. 69-73.
16. Petty, K., H. Noeimi, K. Sanwal, D. Rydzewski, A. Skabardonis, P. Varaiya, and H. Al-Deek. The Freeway Service Patrol Evaluation Project: Database Support Programs and Accessibility. Transportation Research, Vol. 4C, No. 3, 1996, pp. 71-86.