Article
A FRAMEWORK FOR APPLYING SURROGATE SAFETY MEASURES FOR SIDESWIPE CONFLICTS
DOI: 10.7708/ijtte.2015.5(4).03
5 / 4 / 371-383 Pages
Author(s)
Navid Nadimi - Iran University of Science and Technology, Department of Civil Engineering, Iran -
Abstract
Surrogate safety measures (SSM) as indicators of accidents are useful tools in safety evaluations. Nowadays, developing intelligent vehicles without drivers in order to reduce the human errors is a popular topic in civil engineering. Such vehicles are equipped with intelligent collision avoidance systems (CAS), in which safety indicators are applied as warning strategies. Heretofore, different safety indicators have been developed, but most of them are suitable for rear-end conflicts. In this paper, a new framework is proposed to calculate the risk of sideswipe collisions at each instant based on SSM. For this purpose, time-to-collision (TTC) and post-encroachment time (PET), as the most important time-based indicators would be applied and a new method would be presented to calculate these indicators. The application of the framework is illustrated by microscopic traffic data for an arterial road. In all, the new framework has three main applications: 1- As a warning strategy for CAS, 2- Specifying dangerous positions and 3- Identifying aggressive drivers.
Number of downloads: 2706
Keywords:
time-to-collision;
safety;
modeling;
highways;
References:
Archer, J. 2005. Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: A study of urban and suburban intersections. Unpublished Ph.D. thesis, Royal Institute of Technology, Stockholm, Sweden.
Barcelo, J.; Montero, L.; Perarnau, J.; Torday, A. 2003. Safety indicators for micro-simulation based assessments. In 82nd Annual meeting of the Transportation Research Board, Washington, D.C., USA.
Brian, L.; Allen, B.; Shin, T.; Cooper, P.J. 1978. Analysis of traffic conflicts and collisions, Transportation Research Record: Journal of the Transportation Research Board, 667: 67-74.
Chin, H.C.; Quek, S.T. 1997. Measurement of Traffic Conflicts, Safety Science. DOI: http://dx.doi.org/10.1016/S0925-7535(97)00041-6, 26(3): 169-185.
Cooper, P.J. 1983. Experience with traffic conflicts in Canada with emphasis on “post encroachment time” techniques. In Proceedings of the NATO Advanced Research Workshop on International Calibration Study of Traffic Conflict Technique.
Craveiro Cunto, F.J. 2008. Assessing Safety Performance of Transportation Systems using Microscopic Simulation. Unpublished Ph.D. thesis, Dept. of Civil Engineering, Waterloo, Canada.
Garber, N.J.; Gousios, S. 2009. Relationship between Time to Collision Conflicts and Crashes on Interstate Highways Subjected to Truck Lane Restrictions. In 88th Annual Meeting of the Transportation Research Board. Washington, D.C. 15 p.
Gettman, D.; Head, L. 2003. Surrogate safety measures from traffic simulation models. Technical report, Federal Highway Administration - FHWA.
Hayward, J. 1971. Near misses as a measure of safety at urban intersections. Unpublished Ph.D. thesis, Dept. of Civil Engineering, The Pennsylvania State Univ., University Park, PA.
Highway Safety Manual. 2010. American Association of State Highways and Transportation Officials, 1st Edition.
Hirst, S.; Graham, R. 1997. The format and presentation of collision warnings. Y.I. Noy (Ed.), Ergonomics and safety of intelligent driver interfaces. New Jersey: Lawrence, Y.I. Noy (Ed.).
Hogema, J.H.; Janssen, W.H. 1996. Effects of intelligent cruise control on driving behavior. Soesterberg, the Netherlands, TNO Human Factors, Report TM-1996-C-12.
Laureshyn, A.; Svensson, A.; Hyden, Ch. 2010. Evaluation of traffic safety, based on micro-level behavioral data: Theoretical framework and first implementation, Accident Analysis and Prevention. DOI: http://dx.doi.org/10.1016/j.aap.2010.03.021, 42(6): 1637-1646.
Minderhoud, M.M.; Bovy, P.H.L. 2001. Extended time-to-collision measures for road traffic safety assessment, Accident Analysis and Prevention. DOI: http://dx.doi.org/10.1016/S0001-4575(00)00019-1, 33(1): 89-97.
Perkins, S.; Harris, J. 1967. Traffic conflict characteristics accident potential at intersections, Highway Research Board, 225: 35-43.
Saffarzadeh, M.; Nadimi, N.; Nasealavi, S.; Mamdoohi, A.R. 2013. A general formulation for time to collision. In Proceedings of the ICE Transport, 166: 294-304.
Sobhani, A.; Young, W.; Bahrololoom, S.; Sarvi, M.; 2013. Calculating Time-To-Collision for Analyzing Right Turning Behavior at Signalized Intersections, Road and Transport Research, 22(3): 49-61.
Sobhani, A.; Young, W.; Logan, D.; Bahrololoom, S. 2011. A kinetic energy model of two-vehicle crash injury severity, Accident Analysis and Prevention. DOI: http://dx.doi.org/10.1016/j.aap.2010.10.021, 43(3): 741-754.
Van der Horst, A. 1990. A Time-Based Analysis of Road User Behavior in Normal and Critical Encounters. TNO Institute for Perception, Soesterberg, Netherlands.
Vogel, K. 2003. A comparison of headway and time to collision as safety indicators, Accident Analysis and Prevention. DOI: http://dx.doi.org/10.1016/S0001-4575(02)00022-2, 35(3): 427-433.
Young, W.; Sobhani, A.; Lenne, M.G.; Sarvi, M. 2014. Simulation of safety: A review of the state of the art in road safety simulation modelling, Accident Analysis and Prevention. DOI: http://dx.doi.org/10.1016/j.aap.2014.01.008, 66: 89-103.
Quoted IJTTE Works
There is no quoted studies.
Related Keywords