ZPGuiGroupWhu / Human-Mobility-AnalysisLinks
A toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculations (e.g., entropy, radius of gyration, motif ratio, travel rhythm, etc), driving characters and dispositions.
☆36Updated last year
Alternatives and similar repositories for Human-Mobility-Analysis
Users that are interested in Human-Mobility-Analysis are comparing it to the libraries listed below
Sorting:
- Map-Constrained Trajectory Recovery (KDD'21)☆61Updated 3 years ago
- ☆145Updated 3 years ago
- Source codes of KDD2021 paper "Generating Mobility Trajectories with Retained Data Utility"☆29Updated 4 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆29Updated 2 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆250Updated 2 years ago
- The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"☆34Updated last year
- [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility☆50Updated 3 years ago
- A Trajectory Preprocessing Toolkit in Python☆90Updated 3 months ago
- ☆28Updated 3 years ago
- Relevant research papers focusing on human mobility modeling and next place prediction☆29Updated 6 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆136Updated last year
- Taxi Origin-Destination Demand Prediction☆56Updated 5 years ago
- A collection of research on spatio-temporal data mining☆158Updated 11 months ago
- [WWW 2018] DeepMove: Predicting Human Mobility with Attentional Recurrent Network☆155Updated 11 months ago
- ☆95Updated 3 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆39Updated 7 months ago
- LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection☆86Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated 2 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆58Updated 3 years ago
- 交通·未来系列线上公益学术活动PPT☆117Updated 7 months ago
- [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…☆91Updated last year
- Summary of open source code for deep learning models in the field of traffic prediction☆274Updated 3 years ago
- t2vec: Deep Representation Learning for Trajectory Similarity Computation☆148Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆16Updated last year
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆33Updated 2 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆22Updated 4 years ago
- Implementation code for the Context and Time-aware Location Embedding (CTLE) model, proposed in the AAAI 2021 paper "Pre-training Context…☆37Updated last year
- [SIGSPATIAL '22] Next location prediction considering travel mode☆20Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆94Updated 4 years ago