Road network graph refinement with GNNs.
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Updated
May 18, 2023 - Python
Road network graph refinement with GNNs.
A deep learning model based on reinforcement learning to construct pathlet dictionaries.
Todo o conteúdo produzido para a unidade curricular MS (Modelação e Simulação), para o curso em Engenharia Informática e Computação na FEUP
Adjacency matrix calculator for road networks
Analysis of Road Network Suitability
Project for analyzing and visualizing Ancona's road network using OpenStreetMap datasets, an interactive graph, and customized analyses.
An A* GPS road navigation system.
Given network and commodity information this tool computes a feasible multi-commodity flow over time.
A python script to demonstrate the usage of the "alpha model" for procedural generation of large-scale road networks
Research work which explores the application of link prediction methods on road networks.
This repository contains a (hack) procedure to assign geo-referenced detectors on a SUMO network, and generate the detector input file.
This repository includes all files (both scripts and results) necessary to reproduce the figures in the paper 'Using global variance-based sensitivity analysis to prioritise bridge retrofits in a regional road network subject to seismic hazard' by G. Bhattacharjee and J. W. Baker, forthcoming in Structure and Infrastructure Engineering (2021). M…
This is an implementation of a traffic speed predicition model.
Python tool for generating undirected weighted graphs representing road networks.
base on Albert-László Barabási and Réka Albert BA model research for road network
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
A Random Walk tool with some network analysis functions in ArcGIS.
Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.
HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.
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