Traffic forecasting with SVMs on labled loop detector data
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Updated
May 17, 2017 - Scala
Traffic forecasting with SVMs on labled loop detector data
Travel time prediction in Austin, TX using the dataset provided by the City of Austin.
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
DP-kNN: Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
CNN for travel time prediction
Traffic Flow Prediction with Convolutional Neural Networks (VGG16)
Traffic Graph Convolutional Recurrent Neural Network
We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
Algorithm for approximating future green-time for a traffic signal. Based on SSD300 object recognition network.
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Spatial-Temporal Graph Convolutional Neural Network with LSTM layers
Dynamic Modification Neural Network Model for Short-term Traffic Prediction
Coursera IBM Data Science Certification Capstone Course
Codes for "Revealing the hidden features in traffic prediction via entity embedding"
The code for "Short-term traffic flow prediction in bike sharing networks"
Predicción del flujo de pasajeros en las paradas de ómnibus del Sistema de Transporte Metropolitano (STM) de Montevideo
Repository for Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions<https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9352246>
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