Tool to Evaluate Safety Effects of Changes in Freeway Traffic Flow
Publication: Journal of Transportation Engineering
Volume 130, Issue 2
Abstract
This research involves the development of a tool that can be used to assess the changes in traffic safety tendencies that result from changes in traffic flow. The tool uses data from single inductive loop detectors, converting 30-second observations of volume and occupancy for multiple freeway lanes into traffic flow regimes. Each regime has a specific pattern of crash types, which were determined through nonlinear multivariate analyses of over 1,000 crashes on freeways in Southern California. These analyses revealed ways in which differences in variances in speeds and volumes across lanes, as well as central tendencies of speeds and volumes, combine in complex ways to explain crash taxonomy. This research may provide the foundation to forecast the crash rates, in terms of vehicle miles of travel, for vehicles that are exposed to different traffic flow conditions.
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References
Aljanahi, A. A. M., Rhodes, A. H., and Metcalfe, A. V.(1999). “Speed, speed limits, and road traffic accidents under free flow conditions.” Accid. Anal Prev., 31, 161–168.
California Department of Transportation (CALTRANS). (1993). Manual of traffic accident surveillance and analysis system, Sacramento, Calif.
Cedar, A., and Livneh, L.(1982). “Relationship between road accidents and hourly traffic flow.” Accid. Anal Prev., 14, 19–44.
Chen, C., Petty, K. F., Skabardonis, A., Varaiya, P. P., and Jia, Z. (2001). “Freeway performance measurement system: mining loop detector data.” Transp. Research Record 1748, Transportation Research Board, Washington, D.C., 96–102.
Choe, T., Skabardonis, A., and Varaiya, P. P. (2002). “Freeway performance measurement system (PeMS): An operational analysis tool.” Proc., Annual Meeting, Transportation Research Board, Washington, D.C.
De Leeuw, J. (1985). “The Gifi system of nonlinear multivariate analysis.” Proc., 4th Int. Symp. on Data Analysis and Informatics, E. Diday et al., eds., North Holland, Amsterdam, The Netherlands, 415–424.
Dickerson, A., Peirson, J., and Vickerman, R.(2000). “Road accidents and traffic flows: an econometric investigation.” Economica, 67, 101–121.
Frantzeskakis, J. M., and Iordanis, D. I. (1987). “Volume-to-capacity ratio and traffic accidents on interurban four-lane highways in Greece.” Transportation Research Record 1112, Transportation Research Board, Washington, D.C., 29–38.
Fridstrøm, L., Ifver, J., Ingebrigtsen, S., Kulmala, R., and Thomsen, L. K.(1995). “Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts.” Accid. Anal Prev., 27, 1–20.
Garber, N. J., and Gadiraju, R. (1990). “Factors influencing speed variance and its influence on accidents.” Transportation Research Record 1213, Transportation Research Board, Washington, D.C., 64–71.
Gifi, A. (1990). Nonlinear multivariate analysis, Wiley, Chichester, U.K.
Golob, T. F., and Recker, W. W.(2003). “Relationships among urban freeway accidents, traffic flow, weather, and lighting conditions.” J. Transp. Eng., 129(4), 342–353.
Gwynn, D. W.(1967). “Relationship of accident rates and accident involvement with hourly volumes.” Traffic Q., 21, 407–418.
Hall, J. W., and Pendleton, O. J. (1989). “Relationship between V/C ratios and accident rates.” Rep. FHWA-HPR-NM-88-02, U.S. Department of Transportation, Washington, D.C.
Jansson, J. O.(1994). “Accident externality charges.” J. Transp. Econ. Policy, 28, 31–43.
Johansson, P.(1996). “Speed limitation and motorway casualties: a time series count data regression approach.” Accid. Anal Prev., 28, 73–87.
Jones-Lee, M. W.(1990). “The value of transport safety.” Oxford Rev. Econ. Policy, 6, 39–60.
Maher, M. J., and Summersgill, I.(1996). “A comprehensive methodology for the fitting of predictive accident models.” Accid. Anal Prev., 28, 281–296.
Michailidis, G., and de Leeuw, J.(1998). “The GIFI system of descrip-tive multivariate analysis.” Stat. Sci., 13, 307–336.
Newberry, D.(1988). “Road user charges in Britain.” Econom. J., 98, 161–176.
O’Reilly, D., et al. (1994). “The value of road safety: U.K. research on the valuation of preventing on-fatal injuries.” J. Transp. Econ. Policy, 28, 45–59.
Prigogine, I., and Herman, R. (1971). Kinetic theory of vehicular traffic, Elsevier, New York.
Sandhu, B., and Al-Kazily, J. (1996). “Safety impacts of freeway traffic congestion.” Proc., Annual Meeting, Transportation Research Board, Washington, D.C.
Shefer, D., and Rietveld, P.(1997). “Congestion and safety on highways: towards an analytical model.” Urban Stud., 34, 679–692.
Stokes, R. W., and Mutabazi, M. I. (1996). “Rate-quality control method of identifying hazardous road locations.” Transportation Research Record 1542, Transportation Research Board, Washington, D.C., 44–48.
Sullivan, E. C.(1990). “Estimating accident benefits of reduced freeway congestion.” J. Transp. Eng., 116(2), 167–180.
Sullivan, E. C., and Hsu, C.-I. (1988). “Accident rates along congested freeways.” Research Rep. UCB-ITS-RR-88-6, Institute of Transportation Studies, Univ. of California, Berkeley, Calif.
van de Geer, J. P. (1986). “Relationships among k sets of variables, with geometrical representation, and applications to categorical variables.” Multidimensional data analysis, J. de Leeuw, et al., eds., DSWO Press, Leiden, The Netherlands.
van der Burg, E., and de Leeuw, J.(1983). “Nonlinear canonical correlation.” Br. J. Math. Stat. Psychol., 36, 54–80.
Varaiya, P. P. (2001). “Freeway performance measurement system, PeMS V3, phase 1: final report.” Rep. UCB-ITS-PWP-2001-17, California PATH Program, Institute of Transportation Studies, Univ. of California, Berkeley, Calif.
ver Boon, P. (1996). A robust approach to nonlinear multivariate analysis, Department of Solid Waste Operations, Leiden, The Netherlands.
Vickery, W.(1969). “Congestion theory and transport investment.” Am. Econ. Rev., 59, 251–260.
Vitaliano, D. F., and Held, J.(1991). “Road accident external effects: an empirical assessment.” Appl. Econom., 23, 373–378.
Zhou, M., and Sisiopiku, V. P. (1997). “Relationship between volume-to-capacity ratios and accident rates.” Transportation Research Record 1581, Transportation Research Board, Washington, D.C., 47–52.
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Copyright © 2004 American Society of Civil Engineers.
History
Received: Dec 6, 2002
Accepted: Apr 9, 2003
Published online: Feb 19, 2004
Published in print: Mar 2004
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