Danyel Koca Danyel Koca
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Travel Demand Prediction

Published: September 1, 2021

Travel Demand Prediction

This was my graduation thesis at Kyoto University, Intelligent Transport Systems Lab. Please enjoy below a presentation I gave about my thesis at International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

Paper

Origin-destination matrix estimation by deep learning using maps with New York case study

Presentation

Origin-destination matrix estimation by deep learning using maps with New York case study - Title Origin-destination matrix estimation by deep learning using maps with New York case study - Agenda Origin-destination matrix estimation by deep learning using maps with New York case study - Motivation Origin-destination matrix estimation by deep learning using maps with New York case study - Literature Review Origin-destination matrix estimation by deep learning using maps with New York case study - Methodology 1/2 Origin-destination matrix estimation by deep learning using maps with New York case study - Methodology 2/2 Origin-destination matrix estimation by deep learning using maps with New York case study - New York Case Study 1/4 Origin-destination matrix estimation by deep learning using maps with New York case study - New York Case Study 2/4 Origin-destination matrix estimation by deep learning using maps with New York case study - New York Case Study 3/4 Origin-destination matrix estimation by deep learning using maps with New York case study - New York Case Study 4/4 Origin-destination matrix estimation by deep learning using maps with New York case study - Conclusion Origin-destination matrix estimation by deep learning using maps with New York case study - Detailed Model

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