zouguojian/Traffic-flow-prediction

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Language
Python
License
MIT License
Created over 2 years ago
Updated 3 months ago

zouguojian/Traffic-flow-prediction

zouguojian

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This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

Traffic-speed-prediction

Using to predict the highway traffic speed

Travel-time-prediction

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

Personal-Accepted-Research

Welcome to quote our published papers, and the codes have been uploaded.

STGIN

A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed

Read-first-LSTM

A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction

RCL-Learning

In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.

Pollutant-concentration-and-meteorological-data

weather and pollutants

Traffic-data

sharing traffic data for our research direction, there have traffic speed, flow, incident, etc,.

Traffic-demand-prediction

An Optimized Spatiotemporal Encoder-Decoder Neural Network for Ride-Sourcing Demand Prediction

FDN-Learning

Our model utilized the muti-cities historical air pollutant and meteorological data to predict future pollutant concentration

Pollutant-prediction

this page used to proved the project processing

KGEF

Knowledge graph embedding

zouguojian

Config files for my GitHub profile.

Traffic-accident-prediction

Do you know the probability of traffic incident in the future? Let us to evaluate it.