Stereo Vision for Bus Traffic Conflict Investigation

Article Preview

Abstract:

In this paper an imaging system for bus traffic conflict investigation is presented. The system employs geo-referenced stereo sequences and tracking procedure to provide much greater information regarding pre-crash and crash events than what is currently available. The exploitation of the traffic conflict technique potentiality as a surrogate safety measure could constitute an effective tool in understanding how the driver interacts and adapts its behavior with respect to the vehicle, the road characteristics, the traffic control devices and the environment. Experiments performed on real data acquired in urban context confirm the effectiveness of the system for the traffic conflicts measurement and the driver behavior analysis.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

799-802

Citation:

Online since:

September 2013

Export:

Price:

[1] S. Cafiso, A. Di Graziano and G. Pappalardo: Using the Delphi method to evaluate opinions of public transport managers on bus safety. Safety Science, Vol. 57C, pp.254-263, (2013).

DOI: 10.1016/j.ssci.2013.03.001

Google Scholar

[2] S. Cafiso, A. Di Graziano and G. Pappalardo: Road safety issues for bus transport management. Procedia Social and Behavioral Sciences, Vol. 48, pp.2251-2261, (2012).

DOI: 10.1016/j.sbspro.2012.06.1198

Google Scholar

[3] H. W. Heinrich: Industrial Accident Prevention. McGraw-Hill, New York, NY, (1932).

Google Scholar

[4] C. Hyden: The Development of Method for Traffic Safety Evaluation: The Swedish Traffic Conflict Technique. Bulletin 70. Lund Institute of Technology, Sweden, (1987).

Google Scholar

[5] H.C. Chin and S.T. Quek: Measurement of Traffic Conflicts. Safety Science, Vol. 26, No. 3, pp.169-187, (1997).

Google Scholar

[6] D.J. Migletz, W.D. Glauz and K.M. Bauer: Relationships between Traffic Conflicts and Accidents. Report No: FHWA/RD-84/042, Federal Highway Administration, (1985).

Google Scholar

[7] P. Songchitruksa and A. P. Tarko: Extreme value theory approach to safety estimation. Accident Analysis & Prevention, Vol. 38, Elsevier Science, pp.811-822, (2006).

DOI: 10.1016/j.aap.2006.02.003

Google Scholar

[8] J.I. Woodfill, G. Gordon and R. Buck: Tyzx DeepSea High Speed Stereo Vision System. Proceedings of the IEEE Workshop on Real Time 3-D Sensors and Their Use, IEEE Conference on Computer Vision and Pattern Recognition, (2004).

DOI: 10.1109/cvpr.2004.469

Google Scholar

[9] D. Scharstein and R. Szeliski: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int'l Journal of Computer Vision, vol. 47, no. 1, p.7–42, (2002).

DOI: 10.1109/smbv.2001.988771

Google Scholar

[10] S. Battiato, S. Cafiso, A. Di Graziano, G. M. Farinella and O. Giudice: Road Traffic Conflict Analysis from Geo-Referenced Stereo Sequences. Proceedings of the 17th Int'l Conference on Image Analysis and Processing, 2013, in press.

DOI: 10.1007/978-3-642-41181-6_39

Google Scholar

[11] S. Cafiso, A. Garcia Garcia, R. Cavarra, and M.A. Romero Rojas: Crosswalk safety evaluation using a pedestrian risk index as traffic conflict measure. Proceedings of the 3rd Int'l Conference on Road safety and Simulation, (2011).

Google Scholar