LEADER 03670oam 2200517 450 001 9910709647303321 005 20191121113146.0 035 $a(CKB)5470000002471764 035 $a(OCoLC)946455586 035 $a(EXLCZ)995470000002471764 100 $a20160411j200012 ua 0 101 0 $aeng 135 $aurbn||||||ada 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrediction of the expected safety performance of rural two-lane highways /$fD. W. Harwood [and four others] 210 1$aMcLean, VA :$cU.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center,$dDecember 2000. 215 $a1 online resource (200 unnumbered pages) $cillustrations 300 $a"Performing organization: Midwest Research Institute"--Technical report documentation page. 300 $a"Contracting Officer's Technical Representative (COTR): Michael S. Griffith"--Technical report documentation page. 300 $a"December 2000." 300 $a"Publication no. FHWA-RD-99-207." 300 $aIncludes appendixes and tables. 320 $aIncludes bibliographical references (pages 115-124). 330 $aThis 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. 606 $aTraffic safety$xMathematical models 606 $aTraffic accidents$xMathematical models 606 $aRural roads$xSafety measures 615 0$aTraffic safety$xMathematical models. 615 0$aTraffic accidents$xMathematical models. 615 0$aRural roads$xSafety measures. 700 $aHarwood$b Douglas W.$01402328 701 $aGriffith$b Michael S$01405199 712 02$aMidwest Research Institute (Kansas City, Mo.) 712 02$aUnited States.$bFederal Highway Administration.$bOffice of Safety R&D, 712 02$aTurner-Fairbank Highway Research Center, 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCO 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910709647303321 996 $aPrediction of the expected safety performance of rural two-lane highways$93481242 997 $aUNINA