TECHNICAL PAPERS
Jan 1, 2006

Safety Impacts of Differential Speed Limits for Trucks and Passenger Cars on Rural Interstate Highways: A Modified Empirical Bayes Approach

Publication: Journal of Transportation Engineering
Volume 132, Issue 1

Abstract

To compare the safety effects of a uniform speed limit (USL) for all vehicles as opposed to a differential speed limit (DSL) for cars and heavy trucks, detailed crash data for six states were obtained for rural interstate highways for the period 1991–2000. The states were categorized into four policy groups based on the speed limit type employed during that decade: maintenance of a uniform limit, maintenance of a differential limit, a change from a uniform to a differential limit, and a change from a differential to a uniform limit. A modified empirical Bayes framework was used to evaluate crash frequency changes without presuming a constant relationship between crashes and traffic volume. Aggregate results showed no consistent safety effects of DSL as opposed to USL. The reason for this finding is that within each state, the modified empirical Bayes methodology suggested that crash risk increased regardless of speed limit policy. The crash estimation models (CEMs) that were developed for each state varied substantially from one state to another such that use of a single state’s CEM for other states could lead to an erroneous conclusion regarding DSL versus USL safety impacts. However, by looking at results for multiple states, this study shows how that problem is avoided. Two considerations for future applications of the empirical Bayes methodology that proved helpful for this investigation are noted. First, it is feasible to use a site as its own control group in a before/after study if the geographical variation from state to state is greater than the temporal variation from the before to the after period. Such a situation arises not only in the case of statewide speed limit policies, but also for other transportation-related policies enacted on a statewide basis. Second, results were consistent between conventional approaches and the modified empirical Bayes approach. The latter technique showed the crash frequency increasing regardless of whether a state changed from DSL to USL, changed from USL to DSL, maintained USL, or maintained DSL, leading one to conclude that speed limit policy has no consistent impact on safety. This conclusion is similar to that reached when using conventional methods, which had shown that in each state, speed limit policy (DSL versus USL) usually had no significant impact on crash rate (crash frequency divided by vehicle miles traveled).

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Acknowledgments

The writers gratefully acknowledge the many persons who provided data, insights, assistance, and other contributions to this effort. Any person who has worked with state crash and speed data will recognize that obtaining these data, especially data from as far back as a dozen years ago, is no small undertaking. Assistance from K. Bonds (Ark.), J. Williams (Ariz.), C. Haack and J. Benton (Calif.), N. Brizzi (Id.), L. Rust (Ind.), W. Baldwin, G. Groat, M. Pawlovich, and T. Welch (Iowa), J. Schaefer (Mo.), P. Jomini and V. Gonzales (Mont.), S. Cosper and A. Wyatt (N.C.), L. Evans, D. Gardner, J. Hausman, and S. Shokouhi (Ohio), S. Reed (Ore.), R. Collins and M. Moore (Tex.), B. Siddiqui (Utah), T. Rickman and K. Tanner (Wash.), J. Legg, R. Lewis, and R. Russell (W. Va.) proved essential to this study. Insights from D. Lord and E. Hauer also proved essential for application of the empirical Bayes method. Comments from D. Warren and R. Kremmes (Federal Highway Administration) and F. Council (N.C.) were also useful. Finally, the team also could not have accomplished this work without the data reduction assistance of L. Woodson (Va.). Inclusion of the above names and states does not imply, however, agreement with the results of this study.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 132Issue 1January 2006
Pages: 19 - 29

History

Received: Jun 2, 2004
Accepted: Mar 18, 2005
Published online: Jan 1, 2006
Published in print: Jan 2006

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Authors

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Nicholas J. Garber [email protected]
Professor, Dept. of Civil Engineering, Univ. of Virginia, P.O. Box 400742, Charlottesville, VA 22904. E-mail: [email protected]
John S. Miller [email protected]
Senior Research Scientist, Virginia Transportation Research Council, 530 Edgemont Rd., Charlottesville, VA 22903. E-mail: [email protected]
Former Graduate Student, Dept. of Civil Engineering, Univ. of Virginia, P.O. Box 400742, Charlottesville, VA 22904. E-mail: [email protected]
Former Graduate Student, Dept. of Civil Engineering, Univ. of Virginia, P.O. Box 400742, Charlottesville, VA 22904. E-mail: [email protected]

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