Can Chen

Can Chen

PhD

Posts by Collection

portfolio

publications

Robust perimeter control for two urban regions with macroscopic fundamental diagrams: A control-Lyapunov function approach

Published in Transportation Research Part B: Methodological, 2017

This paper is to propose a control-Lyapunov function based approach to robust perimeter control for two-region MFD systems. This paper was presented at the 22nd International Symposium on Transportation and Traffic Theory (ISTTT).

Recommended citation: Zhong, R. X., Chen, C., Huang, Y. P., Sumalee, A., Lam, W. H. K., & Xu, D. B. (2018). "Robust perimeter control for two urban regions with macroscopic fundamental diagrams: A control-Lyapunov function approach." Transportation Research Part B: Methodological. 117, 687-707. https://doi.org/10.1016/j.trb.2017.09.008

Boundary conditions and behavior of the macroscopic fundamental diagram based network traffic dynamics: A control systems perspective

Published in Transportation Research Part B: Methodological, 2018

This paper is about boundary conditions and behavior of the macroscopic fundamental diagram based network traffic dynamics.

Recommended citation: Zhong, R. X., Huang, Y. P., Chen, C., Lam, W. H. K., Xu, D. B., Sumalee, A. (2018). "Dynamic feedback control of day-to-day traffic disequilibrium process." Transportation Research Part B: Methodological. 111, 327-355. https://doi.org/10.1016/j.trb.2018.02.016

Dynamic feedback control of day-to-day traffic disequilibrium process

Published in Transportation Research Part C: Emerging Technologies, 2020

This paper is about dynamic feedback control of day-to-day traffic dynamics.

Recommended citation: Renxin Zhong, Hengxing Cai, Dabo Xu, Can Chen, Agachai Sumalee, Tianlu Pan (2020). "Dynamic feedback control of day-to-day traffic disequilibrium process." Transportation Research Part C: Emerging Technologies. 114, 297-321. https://doi.org/10.1016/j.trc.2020.02.005

Learning the macroscopic traffic dynamics for adaptive optimal perimeter control with integral reinforcement learning

Published in The 24th International Symposium on Transportation & Traffic Theory (ISTTT24), Beijing, China, 2021

This paper is about integral reinforcement learning for MFD-based adaptive optimal perimeter control.

Recommended citation: Can Chen, Yunping Huang, William H.K. Lam, Tianlu Pan, Shu-Chien Hsu, Agachai Sumalee, Renxin Zhong (2021). "Learning the macroscopic traffic dynamics for adaptive optimal perimeter control with integral reinforcement learning." The 24th International Symposium on Transportation & Traffic Theory (ISTTT24). https://isttt24.buaa.edu.cn/pdf/Learning_the_macroscopic_traffic_dynamics_for_adaptive_optimal_perimeter_control_with_integral_reinforcement_learning.pdf

Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression

Published in Applied Soft Computing, 2021

This paper is about bus arrival time prediction and reliability analysis.

Recommended citation: Huang, Y. P., Chen, C., Su, Z. C., Chen, T. S., Sumalee, A., Pan, T. L., Zhong, R. X. (2021). "Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression." Applied Soft Computing. 111, 107663. https://doi.org/10.1016/j.asoc.2021.107663

Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics

Published in Transportation Research Part C: Emerging Technologies, 2022

This paper is to devise a data-efficient adaptive perimeter controller for the MFD framework without relying on any knowledge on the traffic dynamics, i.e., "model-free".

Recommended citation: Chen, C., Huang, Y. P., Lam, W. H., Pan, T. L., Hsu, S. C., Sumalee, A., Zhong, R. X. (2022). "Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics." Transportation Research Part C: Emerging Technologies. 142, 103759. https://doi.org/10.1016/j.trc.2022.103759

Coordination of Mixed Platoons and Eco-Driving Strategy for a Signal-Free Intersection

Published in IEEE Transactions on Intelligent Transportation Systems, 2022

This paper is about coordination of mixed platoons for a signal-free intersection.

Recommended citation: Simin Jiang, Tianlu Pan, Renxin Zhong, Can Chen, Xin’an Li, Shimin Wang (2022). "Coordination of Mixed Platoons and Eco-Driving Strategy for a Signal-Free Intersection." IEEE Transactions on Intelligent Transportation Systems. 24(6): 6597-6613. https://doi.org/10.1109/TITS.2022.3211934

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Published in Transportation Science, 2024

This paper is about iterative adaptive perimeter control integrated with regional route guidance.

Recommended citation: Can Chen, Nikolas Geroliminis, Renxin Zhong (2024). "An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance." Transportation Science. 0(0). https://doi.org/10.1287/trsc.2023.0091

Tracking perimeter control for two-region macroscopic traffic dynamics: An adaptive dynamic programming approach

Published in 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024), Edmonton, Canada, 2024

This paper is about tracking perimeter control of a two-region MFD-based urban traffic dynamics.

Recommended citation: Can Chen, Yunping Huang, Hongwei Zhang, Shu-Chien Hsu, Renxin Zhong (2024). "Tracking perimeter control for two-region macroscopic traffic dynamics: An adaptive dynamic programming approach." 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024), Edmonton, Canada. 0(0).

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.