Abstract：
:The paper presents an analysis of roadway factors and posted speed limits that affect the operating speed at multi-lane highways in Egypt. Field data on multi-lane highways in Egypt are used in this investigation. The analysis considers two categories of highways. The first consists of two desert roads (Cairo-Alexandria and Cairo-Ismailia desert roads) and the second consists of two agricultural roads (Cairo-Alexandria and Tanta-Damietta agricultural roads). The paper includes three separate relevant analyses. The first analysis uses the regression models to investigate the relationships between operating speed (V 85) as dependent variable, and roadway factors and posted speed as independent variables. The road factors are lane width, shoulder width, pavement width, median width, number of lanes in each direction, and existence of side access along each section. The second analysis uses the Artificial Neural Network (ANN) to explore the previous relationships while the third one examines the suitability of the posted speed limits on the roads under study. It is found that the ANN modeling gives the best model for predicting the operating speed and the most influential variables on V 85 are the pavement width, followed by the median width and the existence of side access along section. It is also found that the posted speed limit has a very small effect on the operating speed due to the bad behavior of drivers in Egypt. These results are so important for controlling V 85 on multi-lane rural highways in Egypt.
journal_name
J Adv Resjournal_title
Journal of advanced researchauthors
Semeida AMdoi
10.1016/j.jare.2012.08.014subject
Has Abstractpub_date
2013-11-01 00:00:00pages
515-23issue
6eissn
2090-1232issn
2090-1224pii
S2090-1232(12)00073-2journal_volume
4pub_type
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