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🔭 I am Ph.D. student in Civil and Environmental Engineering at Massachusetts Institute of Technology under the supervision of Prof. Cathy Wu. I received BS and MS in CEE from Seoul National University in South Korea.
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🌱 My research interest is in three-folds.
- 🛣️ Efficient traffic control strategy under CAV condition and mixed autonomy traffic
- 🚋 New emerging smart mobility
- 📊 Urban Data Intelligence & Machine learning
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For details, please visit my personal website.
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📫 How to reach me
- E-mail: jhooncho [at] mit [dot] edu
- LinkedIn, GitHub
Please visit Google Scholar or Research Gate.
- Cho, J.-H., Kim, D.-K., & Kim, E.-J.* (2022). Multi-scale Causality Analysis between COVID-19 Cases and Mobility Using Ensemble Empirical Mode Decomposition and Causal Decomposition. Physica A: Statistical Mechanics and its Applications. https://doi.org/10.1016/j.physa.2022.127488.
- Cho, J.-H., Seo, Y.-H., & Kim, D.-K.* (2021). Efficiency Comparison of Public Bike-sharing Repositioning Strategies Based on Predicted Demand Patterns. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981211016859.
- Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981211012003.
- Ham, S. W., Cho, J.-H., Park, S.-W., & Kim, D.-K.* (2021). Spatiotemporal Demand Prediction Model for E-scooter Sharing Services with Latent Feature and Deep Learning. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981211003896.
- Cho, J.-H., Ham, S. W., Kim, E.-J., & Kim, D.-K.* (2022, January 9–13). A Comparative Analysis of Usage Patterns of Bike-sharing and E-scooter-sharing in Seoul [Poster presentation]. Transportation Research Board 101st Annual Meeting, Washington DC, United States.
- Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021, January 24–28). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data [Poster presentation]. Transportation Research Board 100th Annual Meeting, Washington DC, United States.