Transactions on Transport Sciences 2018, 9(1):64-74 | DOI: 10.5507/tots.2018.001
The Safety Impact of Additional Blue Lights of Rescue Vehicles
- a German Aerospace Center, Institute of Transportation Systems, Rutherfordstr. 2, 12489 Berlin, Germany, andreas.leich@dlr.de
- b Bavarian Red Cross (BRK) Headquarters, Garmischer Str. 19-21, 81 373 München
This paper presents a preliminary study on behalf of the Bavarian Red Cross (BRK). Its focus is on the traffic safety impact of additional blue lights for ambulance vehicles of the Bavarian Red Cross (BRK). The study examines if and to what extent a traffic safety impact can be measured.
The high crash risk particular during emergency drives has been reported in numerous studies. The BRK endeavors to decrease the crash frequency of their ambulance vehicles by improving their visibility especially at intersections and narrow gateways. Therefore, additional side flashing lights have been proposed. The purpose of this study is to evaluate the effectiveness of these flashing lights. In this context, emergency drives conducted with equipped and unequipped ambulance vehicles were compared. More precisely, the exit of a BRK station and the adjacent road segment was observed for 14 days by a video camera, which enables computer-vision aided analysis of the traffic. Within this time frame, 38 traffic situations of unequipped and 13 situations of equipped ambulance vehicles were observed. The trajectories of interacting road users in these situations were analyzed. Indicators for the adaption of road users to ambulance vehicles leaving the BRK station were used, like deceleration, position and time of braking as well as time of reaching walking speed.
The indicators showed, that road users entered the observation area slower encountering equipped ambulance vehicles-probably due to prior braking-than was measured at emergency drives without additional flash lights. Furthermore, road users on average were breaking 3.5 meters earlier, less intensely and reached walking speed 4 meters earlier when ambulance vehicles were equipped with additional flash lights. The interpretation of these results is that earlier reaction implies earlier perception of the ambulance vehicle.
Keywords: Ambulance Vehicles, Traffic Safety, Risk, additional flash lights (3 - 5 keywords)
Received: December 1, 2017; Accepted: March 25, 2018; Prepublished online: June 12, 2018; Published: June 26, 2018 Show citation
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References
- Boone, C. M., Avery, L. W. and Malone, T. B. (2014): A Research Study of Ambulance Operations and Best Practice Considerations for Emergency Medical Services Personnel. First responders Group Department of Homeland Security Science & Technology Directorate, December 10, 2014, retrieved from: https://www.naemt.org/docs/default-source/ems-health-and-safety-documents/health-safety-grid/ambulance-driver-(operator)-best-practices-report.pdf?sfvrsn=2Casey, C., Grant, P. E. and Merrifield, B.: Analysis of Ambulance Crash Data. Fire Protection Research Foundation report, Date of issue: September 2011
- International Association of Fire Fighters (2010): Best Practices for Emergency Vehicle and Roadway Operations Safety in the Emergency Services. Retrieved from: http://www.iaff.org/hs/evsp/best%20practices.pdf
- Gettman, D., Pu, L., Sayed, T., and Shelby, S.: Surrogate Safety Assessment Model and Validation: Final Report, Report No. FHWA-HRT-08-051, Turner-Fairbank Highway Research Center, Federal Highway Administration, McLean, VA, 2008. Retrieved from: http://www.fhwa.dot.gov/publications/research/safety/08051/index.cfm
- Souleyrette, R., Hochstein, J.: Development of a Conflict Analysis Methodology Using SSAM. Final Report, Center for Transportation Research and Education, Iowa State University, 2012. http://www.intrans.iastate.edu/research/documents/research-reports/conflict_analysis_w_cvr.pdf (page 40-41)
- Guo, F., Klauer, S. G., McGill M. T., and Dingus, T. A.: Evaluating the Relationship Between Near-Crashes and Crashes: Can Near-Crashes Serve as a Surrogate Safety Metric for Crashes? Report, U.S. Department of Transportation National Highway Traffic Safety Administration, October 2010
- Ismail, K., Sayed, T., & Saunier, N. (2010). Automated analysis of pedestrian-vehicle: conflicts context for before-and-after studies. Transportation Research Record: Journal of the Transportation Research Board, (2198), 52-64.
Go to original source... - Fitzpatrick, K. (2000). Accident mitigation guide for congested rural two-lane highways (No. 440). Transportation Research Board.
- Leich, A., Kendziorra, A., Saul, H., and Hoffmann, R. (2016). Calculation of Error Rates for Detection of Critical Situations in Road Traffic. In 95th TRB Annual Meeting-Compendium of Papers (Vol. 95). Transportation Research Board.
- Dalal, N. & Triggs, B. (2005) Histograms of oriented gradients for human detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, USA, 2005, pp. 886-893 vol. 1.
- Leich, A., Junghans, M., Kozempel, K., & Saul, H., Road user tracker based on robust regression with GNC and preconditioning. (2015) In SPIE/IS&T Electronic Imaging (pp. 940702-940702). International Society for Optics and Photonics. Go to original source...
- Kolmogorov-Smirnov-Test. Retrieved from: https://en.wikipedia.org/wiki/Kolmogorov-Smirnov_testBortz, Jürgen: Lehrbuch der Statistik: Für Sozialwissenschaftler. Springer Verlag 2013
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