Proposal for the generation of network data for pedestrians in South Korea using large-scale maps

Abstract

As a pedestrian navigation system becomes popular recently, there have been demands on generating network data for pedestrians with a high Level of Detail (LOD) efficiently. To meet on demands, we proposed a new approach to delineate network data for pedestrians with a high LOD for commercial routing services. We set out to clearly redefine walking areas where pedestrians can move freely based on previous research. Next, we present a method to extract walking areas after analysing relationships between walking areas and objects of large-scale maps. Network data for pedestrians are then generated by vectorizing the extracted walking areas with considering visibility of pedestrians and pedestrian movement characteristics and finally merging them. In the evaluation, we can identify that extracted walking areas reflect the real world and network data that are generated by the proposed method have a high LOD, which is available in commercial routing services for a pedestrian.

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