This demo presents a framework which uses crowdsourced geospatial data to obtain paths that do not only minimize travel time but also guide users along popular ...
This demo presents a framework which uses crowdsourced geospatial data to obtain paths that do not only minimize travel time but also guide users along ...
The framework and its results show that the computed paths yield competitive solutions in terms of travel time while also providing more “popular” paths, making ...
Mar 23, 2023 · Bibliographic details on A framework for computation of popular paths from crowdsourced data.
... A framework for computation of popular paths from crowdsourced data. In: 31st IEEE international conference on data engineering, ICDE 2015, Seoul, South ...
A promising approach is parallelization, which splits the graph into chunks of data that may be processed separately. This work extends this approach in that ...
crowdsourced data repositories to calculate connectivity-aware shortest paths. The Connectivity-Aware Route Planner (CARP) tool in- tegrates map data from ...
Jun 9, 2022 · Finally, we introduce a novel framework, CrowdWorkSheets, for dataset developers to fa- cilitate transparent documentation of key decisions ...
This study presents a strategic approach for analyzing publicly available and willingly reported crowdsourced data from a digital mapping platform in outdoor ...
The Connectivity-Aware Route Planner (CARP) tool in- tegrates map data from OpenStreetMap and signal strength data from OpenSignal into a unified framework. The ...
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