A new methodology for evaluating incident detection algorithms

Transportation Research Part C: Emerging Technologies

Volumn 10, Issue 3, 2002, Pages 189-204

  Petty, Karl F ^a   Ostland, Michael ^a   Kwon, Jaimyoung ^a   Rice, John ^a   Bickel, Peter J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

California algorithms; Cost analysis; Freeway congestion delay; Incident detection; Minnesota algorithm

Indexed keywords

ALGORITHMS; COST BENEFIT ANALYSIS;

CONGESTION;

TRANSPORTATION;

ALGORITHM; METHODOLOGY; PLANNING METHOD; TRANSPORTATION PLANNING;

CALIFORNIA; UNITED STATES;

EID: 0036608005     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-090X(02)00007-4     Document Type: Article

References (19)

1. Development of a universally transferable freeway incident detection framework
2. An evaluation of existing incident detection algorithms
3. Developing methodologies for quantifying freeway congestion delay
4. Application of fuzzy logic and neural networks to automatically detect freeway traffic incidents
5. Qualification of urban freeway congestion and analysis of remedial measures
6. Survey of efforts to evaluate freeway service patrols
7. Development and testing of incident-detection algorithms: Research methodology and detailed results
8. Freeway incident-detection algorithms based on decision trees with states
9. Catastrophe theory and patterns in 30-second freeway traffic data-implications for incident detection
10. The freeway service patrol evaluation project: Database, support programs, and accessibility
11. Simulation of freeway incident detection using artificial neural networks
12. Freeway service patrols evaluation
13. The 1-880 field experiment: Analysis of the incident data
14. The 1-880 field experiment: Database development and incident delay estimation procedures
15. Freeway incident detection through filtering
16. Development of freeway incident-detection algorithms by using pattern recognition techniques