hakola / marine-traffic-modellingLinks
Modelling marine traffic in the ice-covered Baltic Sea using AIS data
☆77Updated 5 years ago
Alternatives and similar repositories for marine-traffic-modelling
Users that are interested in marine-traffic-modelling are comparing it to the libraries listed below
Sorting:
- A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection☆142Updated last year
- A multi-task model for vessel monitoring using AIS data streams☆77Updated 5 years ago
- Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example cou…☆35Updated 5 years ago
- Preprocessing data based on https://marinecadastre.gov/ais/☆35Updated 2 years ago
- Modeling ship performance curves to reduce fuel consumption☆24Updated 2 years ago
- SIMROUTE: Weather Ship Routing (WSR) Code. The software is constructed considering available Copernicus Marine Environment Monitoring Ser…☆62Updated 4 months ago
- A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.☆52Updated 3 years ago
- LSTM Keras Neural Network to predict ship location using Danish AIS data☆49Updated 6 years ago
- Vessel traffic data, or Automatic Identification System (AIS) data, are collected by the U.S. Coast Guard through an onboard navigation s…☆23Updated 5 years ago
- A Python package for Map Matching and Mapping. Research work for Noise Planet center.☆53Updated 2 years ago
- Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).☆158Updated last year
- Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this …☆48Updated 5 years ago
- Inferring transportation modes from GPS trajectories using a Convolutional Neural Network☆47Updated 5 years ago
- ST-DBSCAN: Simple and effective tool for spatial-temporal clustering☆154Updated 6 months ago
- ☆11Updated 7 months ago
- A deep generative model to predict aircraft actual trajectories using high dimensional weather data☆87Updated 5 years ago
- Python implementation of T-DBSCAN clustering algorithm for Spatiotemporal Density Clustering. Original paper:☆15Updated 2 years ago
- Risk distribution of collision of ships along China's coast☆36Updated 4 years ago
- ☆30Updated 5 years ago
- A Pandas-Based Computational Framework for the Detection of Ship Stop Points in AIS Data☆17Updated 8 months ago
- A Python library for solving maximum coverage location problem☆64Updated 5 years ago
- City-scale Vehicle Trajectory Data From Traffic Camera Videos☆23Updated last year
- Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets☆178Updated 3 years ago
- fast clustering of GPS trajectories☆41Updated 4 years ago
- Example notebooks illustrating MovingPandas use cases☆179Updated 5 months ago
- This projects adopts machine learning models to quantify the daily/hourly bunker fuel consumption of a ship in different sailing speed, d…☆32Updated 3 years ago
- Trajectory Mining Library for Python☆38Updated 6 years ago
- ☆36Updated 4 years ago
- An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.☆62Updated 3 months ago
- Our project consists of constructing a comprehensive dataset that contains detailed information about maritime routes used for seaborne t…☆11Updated 5 years ago