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Prediction of the expected safety performance of rural two-lane highways / D.W. Harwood [and four others].

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Format:
Book
Government document
Author/Creator:
Harwood, Douglas W., author.
Contributor:
Griffith, Michael S.
Midwest Research Institute (Kansas City, Mo.)
United States. Federal Highway Administration. Office of Safety R&D, sponsoring corporate body.
Turner-Fairbank Highway Research Center, issuing body.
Series:
Report (United States. Federal Highway Administration) ; no. FHWA-RD-99-207.
Report (United States. Federal Highway Administration)
Report (United States. Federal Highway Administration) ; no. FHWA-RD-99-207
Language:
English
Subjects (All):
Traffic safety--Mathematical models.
Traffic safety.
Traffic accidents--Mathematical models.
Traffic accidents.
Rural roads--Safety measures.
Rural roads.
Genre:
Online resources.
Physical Description:
1 online resource ([200] pages) : illustrations
Place of Publication:
McLean, VA : U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, December 2000.
Summary:
This report presents an algorithm for predicting the safety performance of a rural two-lane highway. The accident prediction algorithm consists of base models and accident modification factors for both roadway segments and at-grade intersections on rural two-lane highways. The base models provide an estimate of the safety performance of a roadway or intersection for a set of assumed nominal or base conditions. The accident modification factors adjust the base model predictions to account for the effects on safety for roadway segments of lane width, shoulder width, shoulder type, horizontal curves, grades, driveway density, two-way left-turn lanes, passing lanes, roadside design and the effects on safety for at-grade intersections of skew angle, traffic control, exclusive left- and right-turn lanes, sight distance, and driveways. The accident prediction algorithm is intended for application by highway agencies to estimate the safety performance of an existing or proposed roadway. The algorithm can be used to compare the anticipated safety performance of two or more geometric alternatives for a proposed highway improvement. The accident prediction algorithm includes a calibration procedure that can be used to adapt the predicted results to the safety conditions encountered by any particular highway agency on rural two-lane highways. The algorithm also includes an Empirical Bayes procedure that can be applied to utilize the safety predictions provided by the algorithm together with actual site-specific accident history data.
Contents:
Introduction
Overview of the accident prediction algorithm
Base models
Accident modification factors
Sensitivity analysis results
Implementation of the accident prediction algorithm within the IHSDM
Conclusions, recommendations, and future enhancements
References
Bibliography
Appendices.
Notes:
Online resource; title from PDF cover (FHWA. DOT.gov website, viewed June 04, 2018).
"Performing organization: Midwest Research Institute"--Technical report documentation page.
"Contracting Officer's Technical Representative (COTR): Michael S. Griffith"--Technical report documentation page.
"December 2000."
"Publication no. FHWA-RD-99-207."
Includes appendixes and tables.
Includes bibliographical references (pages 115-124).
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011.
Other Format:
Print version: Prediction of the expected safety performance of rural two-lane highways
OCLC:
946455586
Access Restriction:
Use copy Restrictions unspecified

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