Incident detection: Selection of appropriate technologies and methodologies

Road and Transport Research

Volumn 11, Issue 2, 2002, Pages 50-56

  Awadallah, Faisal ^a  

^a BIRZEIT UNIVERSITY   (Palestine)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; ALARM SYSTEMS; DETECTORS; HIGHWAY ACCIDENTS; IMAGE PROCESSING; VIDEO CAMERAS;

INCIDENT ALARMS; INCIDENT DETECTION;

MOTOR TRANSPORTATION;

EID: 0142242304     PISSN: 10375783     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Awadallah, F. and Habesch, N. (1998). Evaluation of video image processing for traffic management systems, Transportation Quarterly, 52(3), 79-90.
2. Burt, P. (1984). The Pyramid as a Structure for Efficient Computation, Multi-resolution Image Processing and Analysis, A. Rosenfeld (Ed.), Springer Series in Information Sciences, Volume 12. Springer, New York.
3. Cypers, L., Tegenbors, R. and Lemaire F. (1994). Image processing techniques for traffic surveillance on the Antwerp Ring Motorway (Belgium) as part of the Euro-Triangle Project, Proceedings of the First World Congress on Application of Transport Telematics and Intelligent Vehicle-Highway Systems, Paris, p.1129.
4. Dia, H. and Rose, G. (1997). Assessing the performance of artificial neutral network incident detection models, http://www.uq.edu.au/dia/EURO97.pdf, accessed 5 July, 2001.
5. Levin, M. and Krause, G. (1979). Incident detection algorithms. Part 1: Off-line evaluation; Part 2: On-line evaluation, Transportation Research Record, 722, TRB, National Research Council, Washington, DC, pp.49-64.
6. Lin, W. and Daganzo, C. (1997). A simple detection scheme for delay-inducing freeway incidents, Transportation Research-Part A, 31(2), pp.141-155.
7. Lindley J.A. (1987). Urban freeway congestion: Quantification of the problem and effectiveness of potential solutions, Institute of Transportation Engineering Journal, 57(1), pp.27-32.
8. Mussa, R.N. Evaluation of Driver-Base Freeway Incident Detection. Institute of Transportation Engineers Journal, 67(3), pp.33-40.
9. Palen, J. (1997). The need for surveillance in intelligent transportation systems, Intellimotion, 6(1), University of California PATH, Berkeley, CA, pp.1-3, 10.
10. Persaud, B.N. and Hall, F.L. (1989). Catastrophe theory and patterns in 30-second freeway traffic data - implications for incident detection. Transportation Research, 23A, 103-113.
11. Sato, M. and Wakai, M. (1999). Multi-purpose use of CCTV in tunnels by image processing, Proceedings of the 6th World Congress on Intelligent Transport Systems. Toronto, Canada, November 1999.
12. Transportation Research Board, National Research Council. (2000). Highway Capacity Manual. Washington, DC, pp.(13-2)-(13-13).