A route pruning algorithm for an automated geographic location graph construction

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1038/s41598-021-90943-8. Map data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org.Copyright © The Author(s) 2021. Automated construction of location graphs is instrumental but challenging, particularly in logistics optimisation problems and agent-based movement simulations. Hence, we propose an algorithm for automated construction of location graphs, in which vertices correspond to geographic locations of interest and edges to direct travelling routes between them. Our approach involves two steps. In the first step, we use a routing service to compute distances between all pairs of L locations, resulting in a complete graph. In the second step, we prune this graph by removing edges corresponding to indirect routes, identified using the triangle inequality. The computational complexity of this second step is O(L3) , which enables the computation of location graphs for all towns and cities on the road network of an entire continent. To illustrate the utility of our algorithm in an application, we constructed location graphs for four regions of different size and road infrastructures and compared them to manually created ground truths. Our algorithm simultaneously achieved precision and recall values around 0.9 for a wide range of the single hyperparameter, suggesting that it is a valid approach to create large location graphs for which a manual creation is infeasible.The presented work was developed in the project HPC and Big Data Technologies for Global Systems (HiDALGO), under grant agreement No.824115. The Know-Center is funded within the Austrian COMET Program—Competence Centers for Excellent Technologies—under the auspices of the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology, the Austrian Federal Ministry for Digital and Economic Affairs and by the State of Styria.https://doi.org/10.1038/s41598-021-90943-

P-Flee: An Efficient Parallel Algorithm for Simulating Human Migration

10.13039/501100000780-European Commission

Large-scale parallelization of Human Migration Simulation

European Commission’s ICT Activity of the (Grant Number: H2020) Program through the HiDALGO Project (Grant Number: 824115