amrutha6496 / Traffic-Condition-Recognition-Using-The-K-Means-Clustering-Method
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…
☆9Updated 6 years ago
Related projects: ⓘ
- 机器学习部分算法实现，分类、聚类、回归（LR、Kmeans、GMM、PCA）☆10Updated 5 years ago
- 基于GPS轨迹和神经网络（DNN,RNN）的出行方式推测☆19Updated 6 years ago
- 交通流预测☆15Updated 3 years ago
- ☆14Updated this week
- MSSTN: Multi-Scale Spatial-Temporal Network for Air Pollution Prediction☆21Updated 4 years ago
- 数据特征工程、各种机器学习回归模型、回归数据预处理☆33Updated 4 years ago
- ☆35Updated 6 years ago
- Use machine learning model for intense rainfall prediction. 基于深度学习的天气预报系统研究应用☆10Updated 3 years ago
- ☆16Updated this week
- Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example cou…☆33Updated 4 years ago
- ☆40Updated this week
- Clustering of Taxi Trajectories☆11Updated 6 years ago
- LSTM进行时间序列预测☆17Updated 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☆20Updated 6 years ago
- short term traffic forecasting using deep learning architectures☆18Updated last year
- 基于Keras的LSTM多变量时间序列预测☆22Updated 6 years ago
- Implementation of DBSCAN Algorithm in Python.☆86Updated 5 years ago
- A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments w…☆28Updated 6 years ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 2 months ago
- pm2.5 prediction code using LSTM and CNN hybrid model☆21Updated 5 years ago
- 天池大数据竞赛项目--电力预测☆7Updated 7 years ago
- ☆14Updated this week
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated last year
- 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☆51Updated 6 years ago
- Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and L…☆64Updated 7 months ago
- XGB、LSTM、KNNR、SVR预测☆12Updated 5 years ago
- I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (R…☆35Updated 2 years ago
- Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.☆11Updated 5 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆25Updated 4 years ago
- ☆24Updated this week