The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
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Updated
Jul 5, 2020 - Python
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.
QuadTree Model for generating random road network
Pure-python package for map matching
OSM XML file to road graph converter
Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.
Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)
Convert Shapefile to the Network and find number of shortest paths
A python script to demonstrate the usage of the "alpha model" for procedural generation of large-scale road networks
[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach
Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
This is an implementation of a traffic speed predicition model.
SARN: Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning - EDBT 2023
Given network and commodity information this tool computes a feasible multi-commodity flow over time.
A Random Walk tool with some network analysis functions in ArcGIS.
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…
base on Albert-László Barabási and Réka Albert BA model research for road network
Analysis of Road Network Suitability
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