Alternatives and similar repositories for Short-term-Passenger-Flow-Forecast

Users that are interested in Short-term-Passenger-Flow-Forecast are comparing it to the libraries listed below

• super973 / TrafficFlowPrediction
  城市交通道路流量预测
  ☆55Updated 6 years ago
• chen22676678 / trafficForecast
  lstm算法构建的车流量预测模型
  ☆36Updated 2 years ago
• lipopo / traffic_flow_multi_model_predict
  交通流量多模型预测
  ☆51Updated 5 years ago
• 815382636 / GCN-tffc
  比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
  ☆137Updated 4 years ago
• GISer2000 / daily_learning
  分享代码写作日常
  ☆36Updated 3 months 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
  ☆231Updated 4 years ago
• masizhou / GCRNN_PyTorch
  使用GCN和GRU组合模型，多站点气温预测
  ☆37Updated 3 years ago
• xiaoxiong74 / TrafficFlowForecasting
  Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
  ☆369Updated 4 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。
  ☆39Updated 4 years ago
• Fxk2020 / TrafficFlowForecast
  利用TensorFlow框架构建LSTM模型做出城市流量的预测
  ☆19Updated 4 years 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 6 years ago
• JackHCC / Graduation-Design
  😁【北京市优秀毕业论文】基于车辆轨迹时空数据的城市热点预测模型研究【Urban hot spot prediction model based on spatiotemporal data of vehicle trajectory】
  ☆32Updated 3 years ago
• LeronQ / GCN_predict-Pytorch
  Traffic flow predict. Implementation of graph convolutional network with PyTorch
  ☆111Updated 4 years ago
• imethanlee / Traffic-Flow-Baseline
  [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…
  ☆20Updated 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
• Evens1sen / Deep-NYC-Taxi-Bike
  The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"
  ☆22Updated 2 years ago
• JinleiZhangBJTU / ResNet-LSTM-GCN
  Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
  ☆198Updated 5 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆103Updated 4 years ago
• 18786683795 / LSTM_realTmpredict_rhyc
  基于卡口实时过车数据进行交通流量的实时预测分析，使用LSTM循环神经网络模型进行融合预测，准确率达到90%以上。
  ☆57Updated 5 years ago
• zouchangjie / T-GCN--------
  T-GCN交通流量动态预测，需要研究如何把流速转化为流量
  ☆10Updated 5 years ago
• Tlab-seu / traffic-big-data-theory-and-applications
  《交通大数据理论与方法》
  ☆170Updated 3 years ago
• KL4805 / STResNet-PyTorch
  A Pytorch Implementation of STResNet, AAAI 2017
  ☆22Updated 4 years ago
• wubin5 / STTN
  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
  ☆167Updated 4 years ago
• bobbychovip / TrafficFlowPrediction
  LCTFP: A freeway traffic flow prediction model based on CNN and LSTM
  ☆100Updated 6 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆34Updated 5 years ago
• ljwen44 / traffic-zone
  交通时空大数据分析与挖掘
  ☆14Updated 3 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
• Arnavsao / Real-Time-Traffic-Flow-Prediction-Using-Spatio-Temporal-GNN
  Built real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM l…
  ☆17Updated last year
• zouguojian / RCL-Learning
  In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.
  ☆16Updated 3 years ago
• YanJieWen / OD-STGCN
  Spatiotemporal OD prediction based on traffic zones
  ☆11Updated 3 months ago