By Jurg Andreas Stuckelberger
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Additional info for A Weighted-graph Optimization Approach for Automatic Location of Forest Road Networks
The road is then designed as a series of curves inside the angles between consecutive straight segments along vectors, plus curves outside the angles between successive vectors that deﬁne hairpin bends (Ervin & Gross, 1987). A geographical area is the continuous physical entity on which we can deﬁne an inﬁnite number of points for use as the start- and end-points of vectors. However, graph optimization algorithms require a ﬁnite set of nodes (vertices) and links (edges). , splitting a continuous physical system into a discrete set of simple shapes.
2 km. Compared to the minimum cost alternative, this scenario resulted in life-cycle costs of 15% above the minimum but 17% below the conventional practice. Finally, Scenario III, with both slope gradient and geotechnical information as major decisive parameters, was most costeﬀective, with a minimum road network tree and life-cycle costs 21% lower than those incurred by standard, current practices. 5 Conclusions We have developed a model for estimating forest road construction costs. 5. CONCLUSIONS 37 00 1000 10 0 150 15000 150 500 1 000 712 000 218 000 EGS 1500 1500 BRH SBU 0 1 50 TAS 0 0 10 STO ALP 0 1 00 1155 0000 AU 2200 0000 1 00 0 709 000 213 000 roadnetwork scenario 1 roadnetwork scenario 2 .
2004) to optimize detailed engineering design of both highways and low-volume forest roads. However, even the most sophisticated methods may have the following shortcomings: (1) they often ignore the road cross section when estimating road construction costs, (2) they limit the number of possible links from a speciﬁc network node to its adjacent nodes, and (3) they assume the road centerline to be a chain of consecutive straight lines without considering curve or switchback constraints. 2. MATHEMATICAL FORMULATION 41 approaches that overlook these shortcomings may result in impractical road network locations, especially in steep terrain.
A Weighted-graph Optimization Approach for Automatic Location of Forest Road Networks by Jurg Andreas Stuckelberger