Automated analysis of pedestrian-vehicle conflicts using video data

Transportation Research Record

Volumn , Issue 2140, 2009, Pages 44-54

  Ismail, Karim ^a   Sayed, Tarek ^a   Saunier, Nicolas ^a   Lim, Clark ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Acuere Consulting   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; MOTOR TRANSPORTATION; PEDESTRIAN SAFETY; RELIABILITY ANALYSIS; ROADS AND STREETS; VIDEO RECORDING;

AUTOMATED ANALYSIS; COLLISION STATISTICS; MOTORIZED TRAFFIC; PEDESTRIAN EXPOSURE; ROAD USERS; TRAFFIC COLLISIONS; TRAFFIC CONFLICTS; TRAFFIC EVENT; VEHICLES COLLISION; VIDEO DATA;

VEHICLES;

EID: 76749169512     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2140-05     Document Type: Article

References (36)

1. Svensson, Å., and C. Hydén. Estimating the Severity of Safety-Related Behaviour. Accident Analysis and Prevention, Vol.38, 2006, pp. 379-385.
2. British Columbia Traffic Collision Statistics. Insurance Corporation of British Columbia, Canada, 2005, pp. 1203-8008.
3. Perkins, S., and J. Harris. Criteria for Traffic Conflict Characteristics. Report GMR 632. General Motors Corporation, Detroit, Mich., 1967.
4. Amundson, F., and C. Hydén. Proc., First Workshop on Traffic Conflicts, Institute of Economics, Oslo, Norway, 1977.
5. Migletz, D. J., W. D. Glauz, and K. M. Bauer. Relationships Between Traffic Conflicts and Accidents. Report FHWA/RD-84/042. FHWA, U.S. Department of Transportation, 1985.
6. Fitzpatrick, K., S. M. Turner, M. Brewer, P. J. Carlson, B. Ullman, N. D. Trout, E. S. Park, J. Whitacre, N. Lalani, and D. Lord. TCRP Report 112/NCHRP Report 562. Improving Pedestrian Safety at Unsignalized Crossings. Transportation Research Board of the National Academies, Washington, D.C., 2006.
7. Saunier, N., and T. Sayed. Automated Analysis of Road Safety 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.
8. Cynecki, M. J. Development of Conflicts Analysis Technique for Pedestrian Crossings. In Transportation Research Record 743, TRB, National Research Council, Washington, D.C., 1980, pp. 12-20.
9. Lord, D. Analysis of Pedestrian Conflicts with Left-Turning Traffic. In Transportation Research Record 1538, TRB, National Research Council, Washington, D.C., 1996, pp. 61-67.
10. Abdulsattar, H. N., M. S. Tarawneh, P. T. McCoy, and S. D. Kachman. Effect on Vehicle-Pedestrian Conflicts of "Turning Traffic Must Yield to Pedestrians" Sign. In Transportation Research Record 1553, TRB, National Research Council, Washington, D.C., 1996, pp. 38-45.
11. Van Houten, R., J. E. L. Malenfant, J. Van Houten, and R. A. Retting. Using Auditory Pedestrian Signals to Reduce Pedestrian and Vehicle Conflicts. In Transportation Research Record 1578, TRB, National Research Council, Washington, D.C., 1997, pp. 20-22.
12. Tiwari, G., D. Mohan, and J. Fazio. Conflict Analysis for Prediction of Fatal Crash Locations in Mixed Traffic. Accident Analysis and Prevention, Vol.30, 1998, pp. 207-215.
13. Tourinho, L. F. B., and H. Pietrantonio. Parameters for Evaluating Pedestrian Safety Problems in Signalised Intersections Using the Traffic Conflict Analysis Technique-A Study in Sao Paolo, Brazil. Transportation Planning and Technology, 2003, Vol.29, pp. 183-216.
14. Huybers, S., R. Van Houten, and J. E. L. Malenfant. Reducing Conflicts Between Motor Vehicles and Pedestrians: The Separate and Combined Effects of Pavement Markings and a Sign Prompt. Journal of Applied Behavior Analysis, Vol.37, 2004, pp. 445-456.
15. Malkhamaha, S., T. Miles, and F. Montgomery. The Development of an Automatic Method of Safety Monitoring at Pelican Crossings. Accident Analysis and Prevention, Vol.37, 2005, pp. 938-946.
16. Medina, J. C., R. F. Benekohal, and M.-H. Wang. In-Street Pedestrian Crossing Signs and Effects on Pedestrian-Vehicle Conflicts at University Campus Crosswalks. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
17. Rodriguez-Seda, J. D., R. F. Benekohal, and R. Morocoima-Black. Pedestrian, Bicycle, and Vehicle Traffic Conflict Management in Big Ten University Campuses. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
18. Chae, K., and N. M. Rouphail. Empirical Study of Pedestrian-Vehicle Interactions in the Vicinity of Single-Lane Roundabouts. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
19. Chin, C. H., and S. T. Quek. Measurement of Traffic Conflicts. Safety Science, Vol.26, 1997, pp. 169-187.
20. Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and Their Application in Micro-simulation Modelling. Thesis. Royal Institute of Technology, Stockholm, Sweden, 2004.
21. Forsyth, D. A., O. Arikan, L. Ikemoto, J. O'Brien, and D. Ramanan. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis. Foundations and Trends in Computer Graphics and Vision, Vol.1, 2005, pp. 77-254.
22. Antonini, G., S. Venegas, M. Bierlaire, and J.-P. Thiran. Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences. International Journal of Computer Vision, Vol.69, 2006, pp. 159-180.
23. Malinovskiy, Y., Y.-J. Wu, and Y. Wang. Video-Based Monitoring of Pedestrian Movements at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No.2073, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 11-17.
24. Wu, B., and R. Nevatia. Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet-based Part Detectors. International Journal of Computer Vision, Vol.75, 2007, pp. 247-266.
25. Saunier, N., and T. Sayed. Feature-Based Tracking Algorithm for Vehicles in Intersections. 3rd Canadian Conference on Computer and Robot Vision, IEEE, 2006, p. 59.
26. Rabaud, V., and S. Belongie. Counting Crowded Moving Objects. Proc., IEEE International Conference on Computer Vision and Pattern Recognition, Vol.1, 2006, pp. 705-711.
27. Kilambi, P., E. Ribnick, A. J. Joshi, O. Masoud, and N. Papanikolopoulos. Estimating Pedestrian Counts in Groups. Computer Vision and Image Understanding, 2008, Vol.110, pp. 43-59.
28. Laureshyn, A., and A. Håkan. Automated Video Analysis as a Tool for Analysing Road User Behaviour. Presented at the ITS World Congress, London, 2006.
29. Birchfield, S. T. KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker. Clemson University, Clemson, N.C., undated. www.ces. clemson.edu/?stb/klt/.
30. Beymer, D., P. McLauchlan, B. Coifman, and J. Malik. A Real-Time Computer Vision System for Measuring Traffic Parameters. Proc., IEEE International Conference on Computer Vision and Pattern Recognition, Vol.1, 2006, pp. 495-501.
31. Hayward, J. C. Near-Miss Determination Through Use of a Scale of Danger. In Highway Research Record 384, HRB, National Research Council, Washington, D.C., 1972, pp. 24-34.
32. Cooper, P. J. Experience with Traffic Conflicts in Canada with Emphasis on Post Encroachment Time Techniques. International Calibration Study of Traffic Conflicts, Vol.F5, 1984, pp. 75-96.
33. Hupfer, C. Deceleration to Safety Time (DST)-A Useful Figure to Evaluate Traffic Safety. Proc., International Cooperation on Theories and Concepts in Traffic Safety, Lund University, Sweden, 1997.
34. Allen, B. L., B. T. Shin, and D. J. Cooper. Analysis of Traffic Conflicts and Collision. In Transportation Research Record 667, TRB, National Research Council, Washington, D.C., 1978, pp. 67-74.
35. Parker, M., and C. V. Zegeer. Traffic Conflict Techniques for Safety and Operations Observer's Manual. Report FHWA-IP-88-1027 FHWA, U.S. Department of Transportation, 1989.
36. Saunier, N., and T. Sayed. Probabilistic Framework for Automated Analysis of Exposure to Road Collisions. In Transportation Research Record: Journal of the Transportation Research Board, No.2083, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 96-104.