Alternatives and similar repositories for trafficprediction

Users that are interested in trafficprediction are comparing it to the libraries listed below

• lipopo / traffic_flow_multi_model_predict
  交通流量多模型预测
  ☆49Updated 4 years ago
• bobbychovip / TrafficFlowPrediction
  LCTFP: A freeway traffic flow prediction model based on CNN and LSTM
  ☆97Updated 6 years ago
• LiAoqi96 / GAN
  运用GAN来进行交通流预测和数据修复
  ☆22Updated 4 years ago
• windxgg / busPassengerPredict
  ☆36Updated 6 years ago
• masizhou / traffic_prediction
  分别使用三种图卷积做一个简单的交通流量预测模型。
  ☆38Updated 4 years ago
• PatientEz / Multidimensional-time-series-prediction-
  Multidimensional Time Series Prediction by using LSTM
  ☆57Updated 6 years ago
• Tlab-seu / traffic-big-data-theory-and-applications
  《交通大数据理论与方法》
  ☆170Updated 2 years ago
• bilzinet / Traffic-state-reconstruction-using-Deep-CNN
  We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolut…
  ☆22Updated 5 years ago
• JinleiZhangBJTU / Transportation_with_Machine_Learning
  交通·未来系列线上公益学术活动PPT
  ☆118Updated 2 months ago
• aeternae / TianChi_Metro_Predict
  利用已有的地铁流量历史数据建立模型，实现数据间存在的关联，为该城市未来一天的地铁流量进行一个较为准确的预测
  ☆27Updated 5 years ago
• super973 / TrafficFlowPrediction
  城市交通道路流量预测
  ☆55Updated 6 years ago
• LeronQ / GCN_predict-Pytorch
  Traffic flow predict. Implementation of graph convolutional network with PyTorch
  ☆109Updated 4 years ago
• CYBruce / STAWnet
  An end-to-end deep learning model for spatial-temporal prediction
  ☆35Updated 3 years ago
• xiaoxiong74 / TrafficFlowForecasting
  Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
  ☆363Updated 4 years ago
• nimingniming / gdn
  ☆11Updated 3 years ago
• yangjm67 / TransPAI
  Transportation data online prediction
  ☆50Updated 4 years ago
• JUDAIhyper / Traffic_Predict
  2019年广西人工智能设计大赛：交通-地铁客流量预测Baseline（三等奖）
  ☆51Updated 4 years ago
• wanhuaiyu / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆50Updated 2 years ago
• RomainLITUD / Multistep-Traffic-Forecasting-by-Dynamic-Graph-Convolution
  Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations
  ☆16Updated last year
• liulingbo918 / CSTN
  Taxi Origin-Destination Demand Prediction
  ☆53Updated 5 years ago
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆71Updated 4 years ago
• luokn / matgcn
  Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting
  ☆18Updated 2 years ago
• Zhikaiiii / traffic-prediction
  traffic-prediction using LSTM and GCN by pytorch
  ☆60Updated 5 years ago
• liulingbo918 / ATFM
  Attentive Traffic Flow Machines
  ☆58Updated 4 years ago
• suprobe / AT-Conv-LSTM
  A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
  ☆108Updated 3 years ago
• xihao-1223 / TrafficFlowPredictionResources
  交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新
  ☆229Updated 4 years ago
• YanJieWen / OD-STGCN
  Spatiotemporal OD prediction based on traffic zones
  ☆10Updated last month
• wdzhong / ASTGCN-PyTorch
  ☆48Updated 5 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆31Updated 4 years ago
• vighnesh-21 / Traffic-Forecasting-using-Graph-Convolution-LSTM-model
  Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…
  ☆25Updated 4 years ago