Automated safety diagnosis of vehicle-bicycle interactions using computer vision analysis

Safety Science

Volumn 59, Issue , 2013, Pages 163-172

  Sayed, Tarek ^a   Zaki, Mohamed H ^a   Autey, Jarvis ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Automated traffic conflict analysis; Computer vision; Cyclist safety; Safety diagnosis; Traffic conflict indicators; Vehicle and cyclist violations

Indexed keywords

AUTOMATED CLASSIFICATION; CYCLIST SAFETY; FAILURE MECHANISM; OBSERVATION PERIOD; SAFETY DIAGNOSIS; TIME TO COLLISION; TRAFFIC CONFLICTS; VANCOUVER , BRITISH COLUMBIA;

AUTOMATION; COMPUTER VISION; INTERSECTIONS; VEHICLES;

SPORTING GOODS;

ARTICLE; AUTOMATION; BICYCLE; CANADA; CLASSIFICATION; COMPUTER ANALYSIS; COMPUTER VISION ANALYSIS; CONFLICT; HUMAN; MOTOR VEHICLE; OBSERVATION; PRIORITY JOURNAL; SAFETY; TRAFFIC ACCIDENT; VIDEO ANALYSIS; VIDEORECORDING;

EID: 84879564253     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2013.05.009     Document Type: Article

References (46)

1. Amundsen, F., Hydén, C., 1977. Proceedings of the First Workshop on Traffic Conflicts, Lund Institute of Technology.
2. Autey J., Sayed T., Zaki M. Safety evaluation of right-turn smart channels using automated traffic conflict analysis. Accident Analysis and Prevention 2012, 45:120-130.
3. Ayuso M., Guillnn M., Alcasiz M. The impact of traffic violations on the estimated cost of traffic accidents with victims. Accident Analysis and Prevention 2010, 42(2):709-717.
4. Buch N., Orwell J., Velastin S. Urban road user detection and classification using 3D wire frame models. IET Computer Vision 2010, 4(2):105-116.
5. Cho, H., Rybski, P., Zhang, W., 2010. Vision-based bicyclist detection and tracking for intelligent vehicles. In: IEEE Intelligent Vehicles Symposium.
6. Cho, H., Rybski, P., Zhang, W., 2010. Vision-based bicycle detection and tracking using a deformable part model and an EKF algorithm. In: in IEEE Conference on Intelligent Transportation Systems.
7. Coifman B., Beymer D., McLauchlan P., Malik J. A real-time computer vision system for vehicle tracking and traffic surveillance. Transportation Research Part C: Emerging Technologies 1998, 6(4):271-288.
8. Daniels S., Nuyts E., Wets G. The effects of roundabouts on traffic safety for bicyclists: an observational study. Accident Analysis and Prevention 2008, 40(2):518-526.
9. Dill J., Monsere C., McNeil N. Evaluation of bike boxes at signalized intersections. Accident Analysis and Prevention 2012, 44(1):126-134.
10. El-Basyouny K., Sayed T. Safety performance functions using traffic conflicts. Safety Science 2013, 51(1):160-164.
11. Elliott M., Baughan C., Sexton B. Errors and violations in relation to motorcyclists' crash risk. Accident Analysis and Prevention 2007, 39(3):491-499.
12. FHWA, 1989. Traffic Conflict Techniques for Safety and Operations: Observer's Manual.
13. Forsyth D.A., Arikan O., Ikemoto L., O'Brien J., Ramanan D. Computational studies of human motion: Part 1. Tracking and motion synthesis. Foundations and Trends in Computer Graphics and Vision 2005, 1(7):77-254.
14. Gupte S., Masoud O., Martin R., Papanikolopoulos N. Detection and classification of vehicles. IEEE Transactions on Intelligent Transportation Systems 2002, 3(1):37-47.
15. Harkey L., Carter D.L. Observational analysis of pedestrian, bicyclist, and motorist behaviors at roundabouts in the United States. Transportation Research Record: Journal of the Transportation Research Board 2006, 1982:155-165.
16. Hayward J. Near-miss determination through use of a scale of danger. Highway Research Record 1968, 384:24-34.
17. Hsieh J.-W., Yu S.-H., Chen Y.-S., Hu W.-F. Automatic traffic surveillance system for vehicle tracking and classification. IEEE Transactions on Intelligent Transportation Systems 2006, 7(2):175-187.
18. Hunter W.W. Study of bicycle lanes versus wide curb lanes. Transportation Research Record: Journal of the Transportation Research Board 1999, 0208:70-77.
19. Ismail K., Sayed T., Saunier N., Lim C. Automated analysis of pedestrian-vehicle conflicts using video data. Transportation Research Record: Journal of the Transportation Research Board 2009, 2140:44-54.
20. Ismail K., Sayed T., Saunier N. Automated analysis of pedestrian-vehicle conflicts: a context for before-and-after studies. Transportation Research Record: Journal of the Transportation Research Board 2010, 2198:52-64.
21. Ismail K., Sayed T., Zaki M., Alrukaibi F. Automated detection methodology of spatial traffic violation events using video sensors. Transportation Research Record: Journal of the Transportation Research Board 2011, 2241:87-98.
22. Ismail K., Sayed T., Saunier N. A methodology for precise camera calibration for data collection applications in urban traffic scenes. Canadian Journal of Civil Engineering 2013, 40(1):57-67.
23. Laureshyn A., Ardo H., Svensson A., Jonsson T. Application of automated video analysis for behavioural studies: concept and experience. Intelligent Transport Systems 2009, 3(3):345-357.
24. Lim, D., Choi, S., Jun, J., 2002. Automated detection of all kinds of violations at a street intersection using real time individual vehicle tracking. In: IEEE Southwest Symposium on Image Analysis and Interpretation, Washington, DC.
25. Ling H., Wu J. A study on cyclist behavior at signalized intersections. IEEE Transactions on Intelligent Transportation Systems 2004, 5(4):293-299.
26. Messelodi S., Modena C.M., Cattoni G. Vision-based bicycle/motorcycle classification. Pattern Recognition Letters 2007, 28:1719-1726.
27. Miranda-Moreno L.F., Strauss J., Morency P. Exposure measures and injury frequency models for analysis of cyclist safety at signalized intersections. Transportation Research Record: Journal of the Transportation Research Board 2011, 2286:74-82.
28. Oh J., Kim M., Choo S. Development of conflict techniques for left-turn and cross-traffic at protected left-turn signalized intersection. Safety Science 2010, 48(4):460-468.
29. Perkins S., Harris J. Traffic conflict characteristics: accident potential at intersections. Highway Research Record 1968, 225:35-43.
30. Reynolds C.C.O., Harris A., Teschke K., Cripton P., Winters M. The impact of transportation infrastructure on bicycling injuries and crashes: a review of the literature. Environmental Health 2009, 8:1-19.
31. Robinson D.L. Bicycle helmet legislation: can we reach a consensus?. Accident Analysis and Prevention 2007, 39(1):86-93.
32. Saunier, N., Sayed, T., 2006. A feature-based tracking algorithm for vehicles in intersections. In: Third Canadian Conference on Computer and Robot Vision.
33. Saunier N., Sayed T. Automated analysis of road safety with video data. Transportation Research Record: Journal of the Transportation Research Board 2007, 2019:57-64.
34. Saunier N., Sayed T., Ismail K. Large scale automated analysis of vehicle interactions and collisions. Transportation Research Record: Journal of the Transportation Research Board 2010, 2147:42-50.
35. Sayed T., Zein S. Traffic conflict standards for intersections. Transportation Planning and Technology 1999, 22:309-323.
36. Sayed T., Ismail K., Zaki M., Autey J. Feasibility of computer vision-based safety evaluations: a case study of a signalized right-turn safety treatment. Transportation Research Record: Journal of the Transportation Research Board 2012, 2280:18-27.
37. Somasundaram, G., Morellas, V., Papanikolopoulos, N., 2009. Counting pedestrians and bicycles in traffic scenes. In: IEEE Conference on Intelligent Transportation Systems.
38. Struckman-Johnson D., Lund A., Williams A., Osborne D. Comparative effects of driver improvement programs on crashes and violations. Accident Analysis and Prevention 1989, 21(3):203-215.
39. Sun, Z., Bebis, G., Miller, R., 2004. On-road vehicle detection using optical sensors: a review. In: IEEE International Conference on Intelligent Transportation Systems.
40. Tarko, A., Davis, G., Saunier, N., Sayed, T., Washington, S., 2009. Surrogate measures of safety. TRB White Paper.
41. USDOT, 2010. The National Bicycling and Walking Study: 15-Year Status Report, Federal Highway Administration, Washington, DC.
42. Vijverberg, J., DeKoning, A., Han, J., Cornelissen, D., 2007. High-level traffic-violation detection for embedded traffic analysis. In: IEEE International Conference on Acoustics, Speech, and Signal Processing.
43. WHO, 2009. Global Status Report on Road Safety, Switzerland.
44. Zaki, H., Sayed, T., Cheung, A., 2013. Automated Collection of Cyclist Data Using Computer Vision Techniques, in print, Transportation Research Record: Journal of the Transportation Research Board.
45. Zaki M., Sayed T. A framework for automated road-users classification using movement trajectories. Transportation Research Part C 2013, 33:50-73.
46. Zaki M., Sayed T., Ismail K., Alrukaibi F. Use of computer vision to identify pedestrians' nonconforming behavior at urban intersections. Transportation Research Record: Journal of the Transportation Research Board 2012, 2279:54-64.