Attica vehicle mobility analytics and prediction through an end-to-end data engineering framework

Pure-python package for map matching

An A* GPS road navigation system.

OSM XML file to road graph converter

Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)

Project for analyzing and visualizing Ancona's road network using OpenStreetMap datasets, an interactive graph, and customized analyses.

[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach

Adjacency matrix calculator for road networks

Python tool for generating undirected weighted graphs representing road networks.

Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery

Given network and commodity information this tool computes a feasible multi-commodity flow over time.

Research work which explores the application of link prediction methods on road networks.

A deep learning model based on reinforcement learning to construct pathlet dictionaries.

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

A python script to demonstrate the usage of the "alpha model" for procedural generation of large-scale road networks

Road network graph refinement with GNNs.

Todo o conteúdo produzido para a unidade curricular MS (Modelação e Simulação), para o curso em Engenharia Informática e Computação na FEUP

This repository contains a (hack) procedure to assign geo-referenced detectors on a SUMO network, and generate the detector input file.

Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.

This is an implementation of a traffic speed predicition model.