Alternatives and similar repositories for Awesome-Urban-Mobility-Prediction

Users that are interested in Awesome-Urban-Mobility-Prediction are comparing it to the libraries listed below

• mie-lab / location-prediction
  [TRC] Context-aware next location prediction
  ☆45Updated last year
• baixianghuang / travel
  Traffic accident prediction using graph neural networks "TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Net…
  ☆55Updated last year
• FIBLAB / MoveSim
  [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility
  ☆49Updated 3 years ago
• Davidham3 / open-traffic-datasets
  open traffic datasets
  ☆31Updated 6 years ago
• scikit-mobility / DeepLearning4HumanMobility
  ☆144Updated 3 years ago
• huiminren / MTrajRec
  Map-Constrained Trajectory Recovery (KDD'21)
  ☆58Updated 3 years ago
• Logan-Lin / TALE
  Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…
  ☆16Updated last year
• GeoDS / LSTM-TrajGAN
  LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
  ☆86Updated last year
• zealscott / ST2Vec
  Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.
  ☆49Updated 2 years ago
• urbanmobility / CSLSL
  PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"
  ☆11Updated last year
• Coolgiserz / Awesome-Traffic-Prediction
  Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
  ☆144Updated 10 months ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆75Updated 2 years ago
• sinadabiri / Deep-Semi-Supervised-GPS-Transport-Mode
  ☆47Updated 3 years ago
• jiang719 / road-network-predictability
  ☆81Updated last year
• zhiyongc / Seattle-Loop-Data
  ☆94Updated 3 years ago
• aptx1231 / START
  [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…
  ☆88Updated last year
• tsinghua-fib-lab / Activity-Trajectory-Generation
  The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"
  ☆34Updated last year
• chenyuqi990215 / RNTrajRec
  Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)
  ☆47Updated 4 months ago
• tsinghua-fib-lab / OD_benckmark
  The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
  ☆30Updated 2 years ago
• YihongT / HGARN
  [IEEE TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.
  ☆25Updated 9 months ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆137Updated last year
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆74Updated 4 years ago
• yoshall / Awesome-Trajectory-Computing
  A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
  ☆253Updated 5 months ago
• jswang / stgat_traffic_prediction
  This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…
  ☆103Updated 2 years ago
• xlwang233 / LLM-Mob
  Large Language Models as Human Mobility Predictors
  ☆57Updated 11 months ago
• wenhaomin / LaDe
  Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).
  ☆80Updated 11 months ago
• zouguojian / Travel-time-prediction
  When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
  ☆39Updated 5 months ago
• YuejiaoGong / HierETA
  Code for the KDD 2022 paper "Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time…
  ☆18Updated 3 years ago
• TrafficGCN / osmnx_adjacency_matrix_for_graph_convolutional_networks
  Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
  ☆25Updated last year
• xiepeng21 / research_spatio-temporal-data-mining
  A collection of research on spatio-temporal data mining
  ☆156Updated 9 months ago