Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
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Updated
Aug 28, 2023 - Python
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traffic-flow-prediction
Here are 33 public repositories matching this topic...
LibCity: An Open Library for Urban Spatial-temporal Data Mining
deep-learning
toolkit
traffic
eta
map-matching
representation-learning
on-demand-service
spatio-temporal
traffic-prediction
trajectory-prediction
time-series-prediction
spatio-temporal-prediction
traffic-flow-prediction
pytorch-implementation
od-matrix
traffic-forecasting
estimated-time-of-arrival
traffic-accident-prediction
traffic-speed-prediction
libcity
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Updated
Nov 6, 2024 - Python
Traffic Graph Convolutional Recurrent Neural Network
graph
lstm
graph-convolutional-networks
traffic-prediction
traffic-flow-prediction
traffic-graph-convolution
traffic-forecasting
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Updated
Dec 11, 2019 - Jupyter Notebook
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
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Updated
Nov 9, 2020
Summary of open source code for deep learning models in the field of traffic prediction
open-source
deep-learning
traffic
on-demand
on-demand-service
spatio-temporal
graph-convolutional-networks
traffic-prediction
trajectory-prediction
time-series-prediction
spatio-temporal-prediction
traffic-flow-prediction
graph-neural-networks
paper-list
estimated-time-of-arrival
traffic-accident-prediction
open-code
traffic-speed-prediction
travel-time-prediction
libcity
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Updated
Nov 17, 2022
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
timeseries
time-series
neural-network
mxnet
tensorflow
cnn
pytorch
transformer
lstm
forecasting
attention
gcn
traffic-prediction
time-series-forecasting
timeseries-forecasting
traffic-flow-prediction
traffic-flow-forecasting
traffic-forecasting
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Updated
Nov 10, 2023 - TeX
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
dtw
transformer
traffic-prediction
spatio-temporal-prediction
self-attention
traffic-flow-prediction
kshape
graph-transformer
multivariate-time-series-prediction
aaai2023
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Updated
Oct 13, 2023 - Python
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
data-mining
adaptive
representation-learning
data-augmentation
aaai
fairness
spatio-temporal-data
robustness
spatio-temporal-prediction
traffic-flow-prediction
graph-neural-networks
self-supervised-learning
robust-machine-learning
traffic-forecasting
contrastive-learning
graph-augmentation
location-embedding
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Jun 23, 2024 - Python
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
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Updated
Apr 10, 2020 - Python
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
pytorch
traffic-prediction
spatio-temporal-modeling
spatio-temporal-prediction
traffic-flow-prediction
traffic-forecasting
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Updated
Jun 11, 2024 - Python
A time series task- predicting traffic flow using LSTM model
python
time-series
neural-network
recurrent-neural-networks
lstm
traffic-flow-prediction
traffic-flow-forecasting
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Updated
Jun 6, 2020 - Jupyter Notebook
A PyTorch implementation of T-GCN
deep-learning
pytorch
spatio-temporal-prediction
traffic-flow-prediction
traffic-flow-forecasting
pytorch-lightning
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Updated
Apr 16, 2023 - Python
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
timeseries
time-series
neural-network
traffic
cnn
pytorch
forecasting
forecasting-models
gcn
traffic-prediction
traffic-flow
pytorch-cnn
traffic-flow-prediction
cnn-pytorch
traffic-flow-forecasting
forecasting-time-series
traffic-forecasting
simclr
contrastive-learning
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Updated
Jul 3, 2024 - Python
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
smart-cities
spatio-temporal-prediction
traffic-flow-prediction
urban-computing
pre-training
prompt-tuning
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Sep 2, 2024 - Python
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
deep-learning
tensorflow
physical-modeling
multi-task-learning
baselines
traffic-flow-prediction
spatial-attention
graph-neural-networks
temporal-attention
spatio-temporal-attention
generative-inference
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Updated
Jun 18, 2024 - Python
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
deep-learning
traffic
eta
map-matching
spatio-temporal
traffic-prediction
trajectory-prediction
spatio-temporal-prediction
traffic-flow-prediction
traffic-accident-prediction
traffic-speed-prediction
libcity
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Updated
Apr 12, 2024 - Python
Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.
deep-learning
traffic
lstm
long-short-term-memory
lstm-neural-network
traffic-flow-prediction
traffic-flow-forecasting
traffic-flow-modeling
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Updated
Oct 20, 2024 - Jupyter Notebook
Ambient Sensorization Techniques to monitor the traffic flow in Braga
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Updated
Jun 25, 2021 - Jupyter Notebook
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
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Updated
Nov 16, 2021 - Python
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