Incident detection algorithm using wavelet energy representation of traffic patterns

Journal of Transportation Engineering

Volumn 128, Issue 3, 2002, Pages 232-242

  Karim, Asim ^a   Adeli, Hojjat ^a  

^a Ohio State University   (United States)

Author keywords

Algorithms; Highways; Traffic accidents; Traffic management

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; HIGHWAY SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION; WAVELET TRANSFORMS;

ADVANCED TRANSPORTATION MANAGEMENT SYSTEM (ATMS);

TRAFFIC CONTROL;

TRAFFIC MANAGEMENT;

EID: 0036571167     PISSN: 0733947X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-947X(2002)128:3(232)     Document Type: Article

References (21)

1. A fuzzy-wavelet RBFNN model for freeway incident detection
2. Application of time-series analysis techniques to freeway incident detection
3. Efficient implementation of the fuzzy c-means clustering algorithms
4. Smoothing algorithms for incident detection
5. Automated detection of laneblocking freeway incidents using artificial neural networks
6. Detection of freeway capacity-reducing incidents by traffic stream measurements
7. Development and evaluation of neural network freeway incident detection models using field data
8. Application of fuzzy logic and neural networks to automatically detect freeway traffic incidents
9. Fuzzy ART neural network model for automated detection of freeway incidents
10. Development of a fuzzy-expert system for incident detection and classification
11. A simple detection scheme for delay-inducing freeway incidents
12. Fast learning in networks of locally-tuned processing units
13. Freeway incident-detection algorithms based on decesion trees with states
14. Catastrophe theory and patterns in 30-second freeway traffic data-implications for incident detection
15. Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis
16. Traffic incident detection: Sensors and algorithms
17. Real-time adaptive on-line traffic incident detection