ZPGuiGroupWhu / Human-Mobility-Analysis
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.
☆34Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for Human-Mobility-Analysis
- Map-Constrained Trajectory Recovery (KDD'21)☆53Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆108Updated 4 months ago
- Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility☆45Updated 2 years ago
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- A Trajectory Preprocessing Toolkit in Python☆75Updated 4 years ago
- Implementation code for the Context and Time-aware Location Embedding (CTLE) model, proposed in the AAAI 2021 paper "Pre-training Context…☆33Updated last month
- ☆133Updated 2 years ago
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆17Updated last month
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- 交通·未来系列线上公益学术活动PPT☆112Updated 2 years ago
- ☆21Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆61Updated 3 years ago
- Taxi Origin-Destination Demand Prediction☆54Updated 4 years ago
- ☆10Updated 3 years ago
- [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…☆73Updated 7 months ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆33Updated last year
- ☆28Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆88Updated 3 years ago
- LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.☆23Updated this week
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆242Updated last year
- Deep Learning for Spatio-Temporal Data☆67Updated 7 years ago
- ☆85Updated 2 years ago
- Summary of Spatio-Temporal Representation Learning Models.☆66Updated last year
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆50Updated 2 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆69Updated 3 years ago
- A collection of research on spatio-temporal data mining☆144Updated 2 months ago
- Implement of IVMM map matching method.☆14Updated 3 years ago
- Identifying Human Mobility via Trajectory Embeddings(TUL)☆59Updated 4 years ago
- ☆11Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆17Updated last year