Can Chen

Can Chen

PhD

Publications

You can also find my articles on my Google Scholar profile.

Macroscopic Modeling and Identification in Urban Low-Altitude Air Transport Networks with Priorities

Published in 29th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2026), Naples, Italy, 2026

This paper is about macroscopic modeling and system identification in urban low-altitude air transport networks.

Recommended citation: Ran Chen, Can Chen, Nikolas Geroliminis (2026). "Macroscopic Modeling and Identification in Urban Low-Altitude Air Transport Networks with Priorities." 29th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2026), Naples, Italy.

Hybrid safe reinforcement learning for take-off and merging trajectory optimization in urban air mobility

Published in Transportation Research Part C: Emerging Technologies, 2026

This paper proposed a hybrid safe reinforcement learning for take-off and merging trajectory optimization in urban air mobility.

Recommended citation: Yingqi Liu, Tianlu Pan, Can Chen, Renxin Zhong (2026). "Hybrid safe reinforcement learning for take-off and merging trajectory optimization in urban air mobility." Transportation Research Part C: Emerging Technologies. 193: 105960. https://doi.org/10.1016/j.trc.2026.105960

A perimeter control-route guidance framework of urban networks with priorities

Published in The 26th International Symposium on Transportation & Traffic Theory (ISTTT26), Munich, Germany, 2025

This paper develops a novel perimeter control-regional toll (PCRT) framework to minimize passenger total travel time spent (PTTS) within urban networks while strategically prioritizing efficient transport modes.

Recommended citation: Can Chen, Nikolas Geroliminis (2026). "A perimeter control-route guidance framework of urban networks with priorities." The 26th International Symposium on Transportation & Traffic Theory (ISTTT26), Munich, Germany.

Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance

Published in Transportation Research Part C: Emerging Technologies, 2025

This paper proposed a bilevel framework that integrates microscopic collision avoidance and macroscopic route guidance in large-scale urban air mobility traffic simulation and management.

Recommended citation: Canqiang Weng, Can Chen, Jingjun Tan, Tianlu Pan, Renxin Zhong (2026). "Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance." Transportation Research Part C: Emerging Technologies. 183: 105477. https://doi.org/10.1016/j.trc.2025.105477

Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors

Published in Transportation Research Part C: Emerging Technologies, 2025

This paper proposed an Integrated Strategy for Take-off Management and Trajectory Control in Urban Air Mobility Corridors Merging Sections.

Recommended citation: Yingqi Liu, Tianlu Pan, Jingjun Tan, Renxin Zhong, Can Chen (2026). "Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors." Transportation Research Part C: Emerging Technologies. 182: 105370. https://doi.org/10.1016/j.trc.2025.105370

Urban Low-altitude Air Transport Management: Bridging Dynamic Traffic Control and Static Network Equilibrium

Published in Transportation Research Part C: Emerging Technologies, 2025

This paper is about planning-control of urban LAAT systems. An MFD-based approach is proposed.

Recommended citation: Canqiang Weng, Tianlu Pan, Can Chen, Renxin Zhong (2025). "Urban Low-altitude Air Transport Management: Bridging Dynamic Traffic Control and Static Network Equilibrium." Transportation Research Part C: Emerging Technologies. 178: 105237. https://doi.org/10.1016/j.trc.2025.105237

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. pp. 1342-1347. https://doi.org/10.1109/ITSC58415.2024.10919616

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. 58(4):896-918. https://doi.org/10.1287/trsc.2023.0091

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

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

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

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), Beijing, China. https://isttt24.buaa.edu.cn/pdf/Learning_the_macroscopic_traffic_dynamics_for_adaptive_optimal_perimeter_control_with_integral_reinforcement_learning.pdf

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

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

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