niklascp / bus-arrival-convlstm
Bus travel time and arrival prediction using ConvLSTM neural networks
☆54Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for bus-arrival-convlstm
- Forecasting air pollution using temporal attention mechanism in Beijing☆46Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- Transportation data online prediction☆47Updated 3 years ago
- ☆85Updated 2 years ago
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆83Updated 5 years ago
- Attentive Traffic Flow Machines☆57Updated 4 years ago
- ☆110Updated last year
- Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆30Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆54Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆61Updated 3 years ago
- multi-step ahead forecasting of spatio-temporal data☆14Updated 6 years ago
- PyTorch implementation of STGCN☆70Updated 4 years ago
- DMVST-Net for AAAI 2018☆106Updated 3 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 7 years ago
- Project on using ML to implement bus arrival time prediction☆13Updated 7 years ago
- ☆17Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated last year
- Code snippets of ST-ResNet by PyTorch☆61Updated 5 years ago
- ☆12Updated 4 years ago
- a easy pytorch implement of GeoMAN☆68Updated last year
- Reconstruction of DeepST☆95Updated 4 years ago
- Multidimensional Time Series Prediction by using LSTM☆55Updated 5 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☆22Updated 5 years ago
- research survey of traffic prediction☆26Updated 7 years ago
- MSSTN: Multi-Scale Spatial-Temporal Network for Air Pollution Prediction☆21Updated 4 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆93Updated 3 years ago
- Codes for Multi-Level Construal Neural Network framework☆48Updated 4 years ago
- This project aims at the big data challenges for predicting bus arrival time using GPS datasets.☆13Updated 8 months ago
- Dual Staged Attention Model for Time Series prediction☆66Updated 7 years ago