Automated analysis of pedestrian-vehicle: Context for before-and-after studies

Transportation Research Record

Volumn , Issue 2198, 2010, Pages 52-64

  Ismail, Karim ^a   Sayed, Tarek ^b   Saunier, Nicolas ^c  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; ROADS AND STREETS; VIDEO RECORDING;

AUTOMATED ANALYSIS; AUTOMATED VIDEO; BEFORE-AND-AFTER STUDY; CONFLICTS ANALYSIS; DATA AVAILABILITY; NOVEL APPLICATIONS; SAFETY ANALYSIS; SAFETY EVALUATIONS; SAFETY STUDIES; VIDEO ANALYSIS;

PEDESTRIAN SAFETY;

EID: 79951525517     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2198-07     Document Type: Article

References (38)

1. Greene-Roesel, R., M. C. Diogenes, and D. Ragland. Estimating Pedestrian Accident Exposure: Protocol Report. Traffic Safety Center, Institute of Transportation Studies, University of California, Berkeley, 2007.
2. Saunier, N., and T. A. Sayed. Automated Road Safety Analysis 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. (Pubitemid 351472922)
3. Lam, W. H. K., J. F. Morrall, and H. Ho. Pedestrian Flow Characteristics in Hong Kong. In Transportation Research Record 1487, TRB, National Research Council, Washington, D.C., 1995, pp. 56-62.
4. AlGhadi, S., H. S. Mahmassani, and R. Herman. A Speed-Concentration Relation for Bi-Directional Crowd Movements with Strong Interaction. Proc., Pedestrian and Evacuation Dynamics, Springer, Berlin, Germany, 2002, pp. 3-20.
5. Ismail, K., T. Sayed, N. Saunier, and C. Lim. Automated Analysis of Pedestrian-Vehicle Conflicts Using Video Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 44-54.
6. 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.
7. 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.
8. Ismail, K., T. Sayed, and N. Saunier. Automated Collection of Pedestrian Data Using Computer Vision Techniques. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
9. Malinovskiy, Y., J. Zheng, and Y. Wang. Model-Free Video Detection and Tracking of Pedestrians and Bicyclists. Computer-Aided Civil and Infrastructure Engineering, Vol. 24, No. 3, 2008, pp. 157-168.
10. Midenet, L., and S. Boudet. Pedestrian Crossing Detection Based on Evidential Fusion of Video-Sensors. Transportation Research, Part C: Emerging Technologies. Vol. 17, No. 5, 2009, pp. 484-497.
11. Chin, H. C., and S. T. Quek. Measurement of Traffic Conflicts. Safety Science, Vol. 26, 1997, pp. 169-185.
12. Svensson, A., and C. Hydén. Estimating the Severity of Safety Related Behaviour. Accident Analysis and Prevention, Vol. 38, 2006, pp. 379-385. (Pubitemid 43124052)
13. 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.
14. Pulugurtha, S. S., and S. R. Repaka. Assessment of Models to Measure Pedestrian Activity 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. 39-48.
15. Hua, J., N. Gutierrez, I. Banerjee, F. Markowitz, and D. R. Ragland. San Francisco PedSafe II Project Outcomes and Lessons Learned. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
16. Amundsen, F., and C. Hydén (eds.). Proc., First Workshop on Traffic Conflicts. Institute of Transport Economics, Oslo, Norway, 1977.
17. Glauz, W. D., K. M. Bauer, and D. J. Migletz. Expected Traffic Conflict Rates and Their Use in Predicting Accidents. In Transportation Research Record 1026, TRB, National Research Council, Washington, D.C., 1985, pp. 1-12. (Pubitemid 16457473)
18. 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.
19. Bechtel, A., K. MacLeod, and D. Ragland. Oakland Chinatown Pedestrian Scramble: An Evaluation. Final report. Traffic Safety Center, University of California, Berkeley, 2003.
20. 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. (Pubitemid 127550649)
21. 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, Vol. 29, 2003, pp. 183-216. (Pubitemid 43977060)
22. 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. (Pubitemid 40111688)
23. Malkhamah, 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. (Pubitemid 41172378)
24. 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.
25. Garder, P. Pedestrian Safety at Traffic Signals: A Study Carried out with the Help of a Traffic Conflicts Technique. Accident Analysis and Prevention, Vol. 21, 1989, pp. 435-444. (Pubitemid 20637657)
26. Kattan, L., S. Acharjee, and R. Tay. Pedestrian Scramble Operations: Pilot Study in Calgary, Alberta. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 79-84.
27. Turner, S. M., K. Fitzpatrick, M. A. Brewer, and E. S. Park. Motorist Yielding to Pedestrians at Unsignalized Intersections: Findings from a National Study on Improving Pedestrian Safety. In Transportation Research Record: Journal of the Transportation Research Board, No. 1982, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 1-12. (Pubitemid 46448013)
28. Vaziri, B. Exclusive Pedestrian Phase for the Business District Signals in Beverly Hills: 10 Years Later. ITE, Washington, D.C., 1989.
29. Abrams, C. M., and S. A. Smith. Selection of Pedestrian Signal Phasing. In Transportation Research Record 629, TRB, National Research Council, Washington, D.C., 1977, pp. 1-6.
30. 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.
31. Saunier, N., and T. Sayed. A Feature-Based Tracking Algorithm for Vehicles in Intersections. Presented at Third Canadian Conference on Computer and Robot Vision, IEEE, Quebec, Quebec, Canada, June 2006.
32. Kilambi, P., E. Ribnick, A. J. Joshi, O. Masoud, and N. Papanikolopoulos. Estimating Pedestrian Counts in Groups. Computer Vision and Image Understanding, Vol. 110, 2008, pp. 43-59. (Pubitemid 351375435)
33. Ismail, K., T. Sayed, and N. Saunier. Automated Pedestrian Safety Analysis Using Video Data in the Context of Scramble Phase Intersections. Presented at Annual Conference of the Transportation Association of Canada, Vancouver, British Columbia, Canada, 2009.
34. Saunier, N., T. Sayed, and C. Lim. Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis. Presented at 10th International IEEE Conference on Intelligent Transportation Systems, Seattle, Wash., 2007.
35. Vlachos, M., G. Kollios, and D. Gunopulos. Elastic Translation Invariant Matching of Trajectories. Machine Learning, Vol. 58, 2005, pp. 301-334. (Pubitemid 40400641)
36. Saunier, N., T. Sayed, and K. Ismail. An Object Assignment Algorithm for Tracking Performance Evaluation. Proc., Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009, pp. 9-16.
37. Allen, B. L., B. T. Shin, P. J. Cooper, and M. R. Parker, Jr.. Analysis of Traffic Conflicts and Collisions. In Transportation Research Record 667, TRB, National Research Council, Washington, D.C., 1978, pp. 67-74.
38. Archer, J. Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and Their Application in Micro-Simulation Modelling. PhD thesis. Royal Institute of Technology, Stockholm, Sweden, 2005.