Abstract
In the present research, the influence of road geometric properties and traffic characteristics on the right lane capacity value is explored for horizontal curves. The non-traditional procedure (artificial neural networks - ANNs), is adopted for modelling. The research utilizes 78 horizontal curves that provide the traffic and road geometry data, of which55 curves are classified as four-lane and the rest as six-lane ones. Two types of models are introduced to explore the right lane capacity as capacity at curves, and the capacity loss between curves and tangents. The results show that, for horizontal curves, the most effective variables affecting both road types are the percentage of heavy vehicles in traffic composition (HV) followed by radius of curve (R), and the lane width (LW). Furthermore, the capacity loss is also highly affected by R followed by HV. The derived outcomes present a remarkable move towards the beginning of an Egyptian highway design guide.
Highlights
The determination of highway capacity is strongly pertained with two main features; the road geometric design and the traffic flow properties, in particular, for the horizontal alignment
Road geometric data The present paper focuses on the curved sections on the Egyptian multi-lane facilities
Due to the lot of calculations needed for capacity evaluation on the right lane on the horizontal curves, the analysis is conducted for one curve of each road type: curve 1 presents divided four-lane and curve 3 presents divided six-lane
Summary
The determination of highway capacity is strongly pertained with two main features; the road geometric design and the traffic flow properties, in particular, for the horizontal alignment. Kerner [1] pointed out that the determination of the highway capacity is one of the most important applications of any traffic theory. Transportation research authorities executed effective efforts in exploring highway capacity. Numerous studies are highly concerned with the relations between speed, density, and capacity on the uninterrupted roadway sections. The American Highway Capacity Manual [2] confirmed that the road capacity is strongly related to the free flow speed. The capacity derivation issue is partitioned in two denominations; the direct-empirical and the indirect-empirical methods, Minderhoud et al [3], of which the direct-empirical method is applicable in the scope here
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