amrutha6496 / Traffic-Condition-Recognition-Using-The-K-Means-Clustering-MethodLinks
Prediction of travel time has major concern in the research domain of Intel- ligent Transportation Systems (ITS). Clustering strategy can be used as a powerful tool of discovering hidden knowledge that can easily be applied on historical traffic data to predict accurate travel time. In our Modified K-means Clustering (MKC) approach, a set of his…
☆10Updated 7 years ago
Alternatives and similar repositories for Traffic-Condition-Recognition-Using-The-K-Means-Clustering-Method
Users that are interested in Traffic-Condition-Recognition-Using-The-K-Means-Clustering-Method are comparing it to the libraries listed below
Sorting:
- ☆36Updated 6 years ago
- traffic-prediction using LSTM and GCN by pytorch☆60Updated 5 years ago
- 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
- ☆14Updated 4 years ago
- 交通流预测☆17Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆97Updated 6 years ago
- 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
- 阿里天池智慧交通预测挑战赛-Top7 /1716队☆13Updated 7 years ago
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated 2 years ago
- 由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测☆73Updated 5 years ago
- Multidimensional Time Series Prediction by using LSTM☆57Updated 6 years ago
- 实现对某个路段一段时间内的车辆流量预测☆19Updated 5 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆49Updated 6 years ago
- Implementation of DBSCAN Algorithm in Python.☆92Updated 6 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 6 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆78Updated 7 years ago
- Team Jonas contribution to ERP Prediction Contest, February 15, 2019 - May 15, 2019☆16Updated 5 years ago
- I'm not the author, and just try to code it with python☆28Updated 6 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- ☆13Updated 2 years ago
- ☆42Updated 4 years ago
- Multi-step Citywide Crowd Flow Prediction☆11Updated 2 years ago
- 基于Keras的LSTM多变量时间序列预测☆178Updated 7 years ago
- ☆32Updated 6 years ago
- 基于Keras框架,结合LSTM/GRU/Arima/WNN实现多方式的水质参数预测☆22Updated 6 years ago
- A Deep Belief Network for predicting time series in Pytorch.☆19Updated 6 years ago
- keras注意力机制☆18Updated 7 years ago
- 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
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆52Updated 7 years ago
- Repository for the analysis of Vilnius weather using tensorflow☆58Updated 2 years ago