aptx1231/Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
This is a curated overview of deep learning models designed for various traffic prediction tasks. It helps urban planners, transportation managers, and logistics companies understand and apply advanced techniques to forecast traffic flow, speed, travel times, and even accidents. The project takes research papers and their associated open-source code as input, providing a categorized summary that helps users select the right model for their specific prediction needs.
279 stars. No commits in the last 6 months.
Use this if you need to choose a suitable deep learning model and its corresponding open-source code for traffic-related forecasting tasks, such as predicting traffic flow or anticipating travel times.
Not ideal if you are looking for a ready-to-use application or API for traffic prediction, as this project serves as a research summary and guide to existing models rather than a direct implementation.
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Nov 17, 2022
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