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

[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

Convert Shapefile to the Network and find number of shortest paths

SARN: Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning - EDBT 2023

Map Matching (Snap to road functionality) done right using Valhalla's Meili

Using OSMnx, OSRM, and Google Maps Directions API with Python to calculate shortest, fastest, and traffic-based most-efficient routes for a set of origin and destination points

No description provided.

Cobweb is a multi-modal journey planner offering a server based REST API and a light frontend.

Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.

Python tool for generating undirected weighted graphs representing road networks.

OpenDRIVE-compatible road editor & simulator

This project consists of implementations of several kNN algorithms for road networks (aka finding nearest points of interest) and the experimental framework to compare them from a research paper published in PVLDB 2016. You can use it to add new methods and/or queries or reproduce our experimental results.

Advances on human mobility science, covering the reading list of recent top academic conferences.

This is an implementation of a traffic speed predicition model.