Probabilistic framework for automated analysis of exposure to road collisions

Transportation Research Record

Volumn , Issue 2083, 2008, Pages 96-104

  Saunier, Nicolas ^a   Sayed, Tarek ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; MOTOR TRANSPORTATION; ROADS AND STREETS;

AUTOMATED ANALYSIS; AUTOMATED ROADS; AUTOMATED SYSTEMS; COMPUTER VISION TECHNIQUES; PROBABILISTIC FRAMEWORK; ROAD SAFETY ANALYSIS; SENSING TECHNOLOGY; TRAFFIC CONFLICT TECHNIQUES; TRAFFIC DATA; VIDEO SENSORS;

ACCIDENT PREVENTION;

EID: 63849101414     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2083-11     Document Type: Article

References (27)

1. Gettman, D., and L. Head. Surrogate Safety Measures from Traffic Simulation Models, Final Report. FHWA-RD-03-050, FHWA, U.S. Department of Transportation, 2003.
2. Brown, G. R. Traffic Conflict for Road User Safety Studies. Canadian Journal of Civil Engineering, Vol. 21, 1994, pp. 1-15.
3. Hydén, C. The Development of a Method for Traffic Safety Evaluation: The Swedish Traffic Conflicts Technique. PhD thesis. Bulletin 70. Lund University of Technology, Lund, Sweden, 1987.
4. Sayed, T., G. R. Brown, and F. Navin. Simulation of Traffic Conflicts at Unsignalised Intersections with TSC-Sim. Accident Analysis and Prevention, Vol. 26, No. 5, 1994, pp. 593-607.
5. Sayed, T., and S. Zein. Traffic Conflict Standards for Intersections. Transportation Planning and Technology, Vol. 22, 1999, pp. 309-323.
6. Svensson, Å., and C. Hydén. Estimating the Severity of Safety-Related Behaviour. Accident Analysis and Prevention, Vol. 38, No. 2, March 2006, pp. 379-385.
7. Proc., First Workshop on Traffic Conflicts (F. Amundsen and C. Hydén, eds.). Institute of Transport Economics. Oslo, Norway, 1977.
8. Svensson, Å. A Method for Analyzing the Traffic Process in a Safety Perspective. PhD dissertation. Bulletin 166. University of Lund, Lund, Sweden, 1998.
9. Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and Their Application in Micro-Simulation Modelling. Academic thesis. Royal Institute of Technology, Stockholm, Sweden, Dec. 2004.
10. van der Horst, R. A. Time-Based Analysis of Road User Behavior in Normal And Critical Encounter. PhD dissertation. Delft University of Technology, Delft, Netherlands, 1990.
11. Beymer, D., P. McLauchlan, B. Coifman, and J. Malik. A Real-Time Computer Vision System for Measuring Traffic Parameters. In Proc., 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), IEEE Computer Society, Washington, D.C., 1997, pp. 495-501.
12. Hu, W., T. Tan, L. Wang, and S. Maybank. A Survey on Visual Surveillance of Object Motion and Behaviors. IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 34, No. 3, August 2004, pp. 334-352.
13. Kastrinaki, V., M. Zervakis, and K. Kalaitzakis. A Survey of Video Processing Techniques for Traffic Applications. Image and Vision Computing, Vol. 21, No. 4, April 2003, pp. 359-381.
14. Laureshyn, A., and H. Ardö. Straight to Video? Traffic Technology International, 2007, pp. 107-109.
15. Maurin, B., O. Masoud, and N. P. Papanikolopoulos. Tracking All Traffic: Computer Vision Algorithms for Monitoring Vehicles, Individuals, and Crowds. Robotics & Automation, Vol. 12, No. 1, March 2005, pp. 29-36.
16. Saunier, N., and T. Sayed. Automated Analysis of Road Safety with Video Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2019, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 57-64.
17. Saunier, N., and T. Sayed. A Feature-Based Tracking Algorithm for Vehicles in Intersections. Proc., 3rd Canadian Conference on Computer and Robot Vision, IEEE, Québec City, Québec, June 2006.
18. The Swedish Traffic Conflict Technique, 2005. www.tft.lth.se/ rapporter/ Conflict1.pdf.
19. Hakkert, A. S., and L. Braimaister. The Uses of Exposure and Risk in Road Safety Studies. Technical Report R-2002-12. Institute for Road Safety Research (SWOV), Leidschendam, Netherlands, 2002.
20. Hauer, E. On Exposure and Accident Rate. Traffic Engineering and Control, Vol. 36, No. 3, 1995, pp. 134-138.
21. Atev, S., H. Arumugam, O. Masoud, R. Janardan, and N. P. Papanikolopoulos. A Vision-Based Approach to Collision Prediction at Traffic Intersections. IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 4, Dec. 2005, pp. 416-423.
22. Hu, W., X. Xiao, D. Xie, T. Tan, and S. J. Maybank. Traffic Accident Prediction Using 3D Model-Based Vehicle Tracking. IEEE Transactions on Vehicular Technology, Vol. 53, No. 3, May 2004, pp. 677-694.
23. Kamijo, S., Y. Matsushita, K. Ikeuchi, and M. Sakauchi. Traffic Monitoring and Accident Detection at Intersections. IEEE Transactions on Intelligent Transportation Systems, Vol. 1, No. 2, June 2000, pp. 108-118.
24. Laureshyn, A., and H. Ardö. Automated Video Analysis as a Tool for Analysing Road Safety Behaviour. Proc., 13th ITS World Congress, London, 2006.
25. Messelodi, S., and C. M. Modena. A Computer Vision System for Traffic Accident Risk Measurement: A Case Study. Technical Report ITC-first T05-06-07. ITC (Center for Scientific and Technical Research), Trento, Italy, 2005.
26. Vlachos, M., G. Kollios, and D. Gunopulos. Elastic Translation Invariant Matching of Trajectories. Machine Learning, Vol. 58, No. 2-3, Feb. 2005, pp. 301-334.
27. Saunier, N., T. Sayed, and C. Lim. Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis. In Proc., 10th International IEEE Conference on Intelligent Transportation Systems, Seattle, Wash., Oct. 2007.