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作 者:Stefan Hahmann Jakob Miksch Bernd Resch Johannes Lauer Alexander Zipf
机构地区:[1]GIScience Research Group,Institute of Geography,Heidelberg University,Heidelberg,Germany [2]Fraunhofer IVI,Fraunhofer Institute for Transportation and Infrastructure Systems,Dresden,Germany [3]Department of Geoinformatics-Z_GIS,University of Salzburg,Austria [4]Center for Geographic Analysis,Harvard University,Cambridge,MA,USA [5]HERE GmbH&Co KG,Schwalbach am Taunus,Germany
出 处:《Geo-Spatial Information Science》2018年第3期247-256,共10页地球空间信息科学学报(英文)
基 金:supported by European Commission[grant number 612096(CAP4Access)].
摘 要:Finding the shortest path through open spaces is a well-known challenge for pedestrian routing engines.A common solution is routing on the open space boundary,which causes in most cases an unnecessarily long route.A possible alternative is to create a subgraph within the open space.This paper assesses this approach and investigates its implications for routing engines.A number of algorithms(Grid,Spider-Grid,Visibility,Delaunay,Voronoi,Skeleton)have been evaluated by four different criteria:(i)Number of additional created graph edges,(ii)additional graph creation time,(iii)route computation time,(iv)routing quality.We show that each algorithm has advantages and disadvantages depending on the use case.We identify the algorithms Visibility with a reduced number of edges in the subgraph and Spider-Grid with a large grid size to be a good compromise in many scenarios.
关 键 词:OpenStreetMap ROUTING open space NAVIGATION PEDESTRIAN POLYGON
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