Fast map matching, an open source framework in C++
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Updated
Jul 9, 2024 - C++
Fast map matching, an open source framework in C++
Fast shortest path calculations for Rust
A Unified Framework for Image-to-Graph Generation. Paper accepted @ ECCV22.
General Modeling Network Specification
Pure-python package for map matching
Easy-to-build realistic roads in Unity. Foundation of any simcity game.
Interface to OpenStreetMap (load maps, extract road connectivity, plot road network & find shortest path)
The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.
Summary of Spatio-Temporal Representation Learning Models.
QuadTree Model for generating random road network
Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)
Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.
OSM XML file to road graph converter
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
Mapas com os declives de uma rede viária
Python library for humanitarian, development, connectivity, and climate geospatial analysis: acquire WorldPop, GHSL, Google & Microsoft buildings, OSM, RWI, Ookla, and GloFAS and map them onto H3/S2/Mercator grids, admin boundaries, custom geometries, POIs, and road networks.
[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach
A python script to demonstrate the usage of the "alpha model" for procedural generation of large-scale road networks
Mexico's federal road traffic counts (SICT / IMT) for all 32 states: 78,863 km of road segments, 9,425 counting stations, 333 toll plazas, 2009-2024. CSV, GeoJSON, GeoPackage and PostGIS.
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