Development of local safety performance functions for Egyptian multi-lane rural divided highways based on highway safety manual procedure / Hend Ibrahim Mohamed Saad Asal ; Supervised Dalia Galal Said
Material type: TextLanguage: English Publication details: Cairo : Hend Ibrahim Mohamed Saad Asal , 2018Description: 171 P. : facsimiles ; 30cmOther title:- تطوير أداء السلامة المحلية للطرق متعددة الحارات فى مصر استنادا الى اجراءات السلامة المتبعة فى دليل سلامة الطرق [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2018.He.D (Browse shelf(Opens below)) | Not for loan | 01010110076671000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2018.He.D (Browse shelf(Opens below)) | 76671.CD | Not for loan | 01020110076671000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
The Highway Safety Manual (HSM) provides several safety performance functions (SPFs), which are used to predict the expected average crash frequency on a roadway network given the geometric features, section length, and traffic volume. The HSM was developed in the US using road and crash data specific to the environment in the US. Every state was encouraged to develop locally derived models suitable for the local characteristics of roads and crashes. The objective of this research is to assess the opportunity of adopting the HSM on rural multi-lane divided highways in Egypt. This thesis calibrated SPFs considering Egyptian road factors. The SPFs were first calibrated using the default crash modification factors (CMFs), and the results were compared with the actual crash events. The results showed the need for a further step to develop locally derived SFPs using the Poisson-Gamma regression technique. The developed models describe the mean crash frequency as a function of natural logarithm of the annual average daily traffic and segment length. Several factors were investigated including curve radii, percentage of heavy vehicles, curve length, median width, shoulder width, and curve density
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