lhtlht / Subway-passenger-flow-forecastLinks
地铁乘客流量预测
☆30Updated 6 years ago
Alternatives and similar repositories for Subway-passenger-flow-forecast
Users that are interested in Subway-passenger-flow-forecast are comparing it to the libraries listed below
Sorting:
- 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
- ☆36Updated 6 years ago
- 交通流量多模型预测☆49Updated 4 years ago
- a model for traffic flow forecast☆29Updated 6 years ago
- 运用GAN来进行交通流预测和数据修复☆22Updated 4 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆97Updated 6 years ago
- 基于深度学习的共享单车预测与调度解决方案,使用神经网络构建单车需求量与时间段和地理画像的关联,预测不同区域单车需求量;使用蚁群算法规划最优单车调度路径。☆101Updated 6 years ago
- 城市交通流量时空预测---山东省数据应用(青岛)创新创业大赛。http://sdac.qingdao.gov.cn/common/cmptIndex.html☆36Updated 5 years ago
- Multidimensional Time Series Prediction by using LSTM☆57Updated 6 years ago
- 天池全球城市计算AI挑战赛-地铁人流量预测 A榜22/2319☆134Updated 6 years ago
- 2019天池大数据竞赛杭州市地铁流量流入流出预测 成绩27/2319 比赛地址https://tianchi.aliyun.com/competition/entrance/231708/introduction?spm=5176.12281957.1004.6.38b0…☆45Updated 6 years ago
- 客流量时间序列预测模型☆125Updated 3 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆21Updated 4 years ago
- 时间序列ARIMA模型的销量预测☆61Updated 7 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆81Updated 6 years ago
- 利用时间序列预测汽车销量☆41Updated 6 years ago
- 城市交通道路流量预测☆55Updated 6 years ago
- 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
- 基于LSTM的电力负荷预测☆153Updated 6 years ago
- Traffic Prediction using LSTM method.☆58Updated 8 years ago
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated 2 years ago
- 一个交通 大数据可视化系统☆23Updated 7 years ago
- 客流预测、Resnet☆14Updated 5 years ago
- 实现对某个路段一段时间内的车辆流量预测☆19Updated 6 years ago
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆363Updated 4 years ago
- 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
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 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
- about deep learning projects☆49Updated 5 years ago
- 一种有效的电力负荷预测方法☆63Updated 5 years ago