01558143

Component

https://doi.org/10.3141/2495-11

Finding a scenic route between two locations is a common trip-planning task, in particular for tourists and recreational travelers. For the automated computation of a scenic route in a trip-planning system to function, it is necessary to understand which attributes of a route and its surroundings are associated with attractive scenery. One way to find this information is with a route choice model framework, which requires a choice set of realistic paths for traveling a scenic route. This paper proposes a constrained enumeration type algorithm for computing scenic alternatives with a branch-and-bound approach and a labeling algorithm in combination with link elimination to generate a scenic route choice set. These algorithms use volunteered geographic information—shared, geotagged photos (photos to which geographical identification metadata have been added) from Panoramio—to generate path alternatives. The results show that the proposed branch-and-bound algorithm replicated observe travel behavior better than the traditional deterministic minimum cost–based algorithms in terms of overlap and consistency. In addition, for the proposed branch-and-bound method, the average number of scenic clusters was almost identical to that found along observed scenic routes; this method outperformed all other evaluated algorithms for this aspect.

01594381

15-5376

English

pp 101–111

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369565

Print

Figures (4) ; References (35) ; Tables (2)

Branch and bound algorithms; Geographic information systems; Planning; Recreational trips; Route choice; Scenic highways; Tourists; Travel behavior

Highways; Planning and Forecasting

TRIS, TRB, ATRI

Dec 30 2014 1:48PM

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