Abstract
Relations between the occurrence of road accidents, traffic and rainfall conditions are valuable in setting safety objectives for traffic management, and in assessing the safety impacts of new traffic management systems, prior to their implementation. Based on traffic, road accidents and rain data collected over one year, on a French urban motorway network, a set of safety performance functions were estimated; each of them provides the accident risk per vehicle-kilometer for a certain type of accident, according to the occurrence of rain, and to the level of a traffic variable (average speed, occupancy, percentage of tailgating…). Analyses were carried out separately by lane and for two types of accidents: single-vehicle accidents and multiple-vehicle accidents. The relationships, although statistically significant, have yet to be validated by the treatment of another set of accidents.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
However, a number of drivers involved in a single-vehicle accident claim that the accident is due to a runaway vehicle.
References
Abdel-Aty, M., Uddin, N., Pande, A., Abdalla, F.M., Hsia, L.: Predicting freeway crashes from loop detector data by matched case-control logistic regression. Transp. Res. Rec. 1897(1), 88–95 (2004)
Abdel-Aty, M., Uddin, N., Pande, A.: Split models for predicting multivehicle crashes during high-speed and low-speed operating conditions on freeways. Transp. Res. Rec. 1908, 51–58 (2005)
Abdel-Aty, M.A., Pemmanaboina, R.: Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data. IEEE Trans. Intell. Transp. Syst. 7(2), 167–174 (2006)
Aron, M., Seidowsky, R., Ditchi, N.: Traffic indicators and accidents: the case of a motorway network in the South of France. Transportation Research Board, 92nd Annual meeting, paper#13-4638 Washington D.C. (2013)
Bergel-Hayat, R., Debarrh, M., Antoniou, C., Yannis, G.: Explaining the road accident risk: weather effects. Accid. Anal. Prev. 60, 456–465 (2013)
Brodsky, H., Hakkert, A.S.: Risk of a road accident in rainy weather. Accid. Anal. Prev. 20(3), 161–176 (1988)
Elvik, R.: A re-parameterisation of the power model of the relationship between the speed of traffic and the number of accidents and accident victims. Accid. Anal. Prev. 50, 854–860 (2013)
Elvik, R.: Speed and Road Safety – New Models. TØI Report 1296/2014 Oslo, 39 p. (2014). https://www.toi.no/getfile.php/Publikasjoner/T%C3%98I%20rapporter/2014/1296-2014/1296-2014-elektronisk.pdf
Golob, T.F., Recker, W.W., Alvarez, V.M.: Freeway safety as a function of traffic flow. Accid. Anal. Prev. 36(6), 933–946 (2004)
Greenshields, B.D., Bibbins, J.R., Channing, W.S., Miller, H.H.: A study of traffic capacity. Highw. Res. Board Proc. 14, 448–477 (1935)
Hauer, E.: Speed and safety. Transp. Res. Rec. 2103, 10–17 (2009)
Lord, D., Guikema, S.D.: The Conway–Maxwell–Poisson model for analyzing crash data. J. Appl. Stoch. Models Bus. Ind. 28(2), 122–127 (2012)
Nilsson, G.: Traffic safety dimensions and the power model to describe the effect of speed on safety. Bulletin 221. Lund Institute of Technology, Department of Technology and Society, Traffic Engineering, Lund (2004). http://lup.lub.lu.se/record/21612
Park, P.Y.-J., Saccomanno, F.: Reducing treatment selection bias for estimating treatment effects using propensity score method. J. Transp. Eng. Am. Soc. Civ. Eng., Manuscript No. TE/2005/023489, February 2007
Underwood, R.T.: Speed, Volume, And Density Relationship: Quality and Theory of Traffic Flow Yale Bureau of Highway Traffic, New Haven, pp. 141–188 (1961)
Uno, N., Iida, Y., Itsubo, S., Yasuhara, S.: A microscopic analysis of traffic conflict causes by lane-changing vehicle at weaving section. In: Proceedings of the 13th Mini-Euro Conference on “Handling Uncertainty in Transportation Analysis of Traffic”, pp. 143–148 (2003)
Venkataraman, N.S., Ulfarsson, G.F., Shankar, V., Oh, J., Park, M.: Model of relationship between interstate crash occurrence and geometrics: exploratory insights from a random parameters negative binomial approach. Transp. Res. Rec. 2236, 41–48 (2011)
Acknowledgements
We are very grateful to the “COMET” project (https://sites.google.com/site/orsicomet/home), launched by IFSTTAR, which brings together different participants in order to share knowledge and to develop tools for traffic management during adverse meteorological conditions. We also thank the reviewers for their relevant and fruitful remarks.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix: Significant Relationships
Appendix: Significant Relationships
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Aron, M., Billot, R., Bhouri, N., El Faouzi, NE., Seidowsky, R. (2018). Power and Exponential Functions Relating Accidents to Traffic and Rain. Calibration on a French Network. In: Żak, J., Hadas, Y., Rossi, R. (eds) Advanced Concepts, Methodologies and Technologies for Transportation and Logistics. EURO EWGT 2016 2016. Advances in Intelligent Systems and Computing, vol 572. Springer, Cham. https://doi.org/10.1007/978-3-319-57105-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-57105-8_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57104-1
Online ISBN: 978-3-319-57105-8
eBook Packages: EngineeringEngineering (R0)