[TRANSPORT RES E-LOG] Y Huang, P Zhu, R Zhong, N Geroliminis. (2024).A bi-level approach for optimal vehicle relocating in Mobility-On-Demand systems with approximate dynamic programming and coverage control. Transportation Research Part E: Logistics and Transportation Review 192, 103754. [PDF]
[ICECAI] X Qin, Q Ma, R Zhong. (2024).Traffic Signal Control via Predictive Reinforcement Learning and Multiple-Time-Slice Modelling. 2024 5th International Conference on Electronic. [PDF]
[TITS'24] Renxin Zhong, Qingnan Liang, Dabo Xu, Mike Smith, Tianlu Pan. (2024).Day-to-Day Road Pricing and Network Performance Analysis via Output Stability. IEEE Transactions on Intelligent Transportation Systems. [PDF]
[DDCLS'24] Guodong Yang, Renxin Zhong.(2024).Real-Time Conflict-Free Path Planning for Multi-AGVs Based on Deep Reinforcement Learning.2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS). [PDF]
[TRANSPORTATION SCIENCE]Chen, C, Geroliminis, N,& Zhong, R*. (2024).An iterative adaptive dynamic programming approach for macroscopic fundamental diagram-based perimeter control and route guidance. Transportation Science.（交通领域顶刊） [PDF]
[TRANSPORTMETRICA A]Huang, Y, Xiong, J, Hsu, S*, Sumalee, A, Lam, W,& Zhong, R*. (2024).A comparison of the accumulation-based, trip-based and time delay macroscopic fundamental diagram models. Transportmetrica A: Transport Science, pp.1-37. [PDF]
[Physica A]Ma, W, Huang, Y, Jin, X,& Zhong, R*. (2024).Functional form selection and calibration of macroscopic fundamental diagrams. Physica A: Statistical Mechanics and its Applications, 640 pp.129691. [PDF]
[ITSC]Huang, Y., Zheng, N., Liang, E., Hsu, S. C.*, & Zhong, R*. (2023, September). An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation Using Time-Dependent Travel Times. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2652-2657). IEEE. [WEB]
[Automatica]Zhang, J, Ju, Y, Mu, B, Zhong, R,& Chen, T*. (2023).An efficient implementation for spatial–temporal Gaussian process regression and its applications. Automatica, 147 pp.110679.（控制学科顶刊）[PDF]
[TRANSPORTMETRICA B]Jin, X, Ma, W. F., Zhong, R*,& Jiang, G. G.* (2023).An efficient variational Bayesian algorithm for calibrating fundamental diagrams and its probabilistic sensitivity analysis. Transportmetrica B: Transport Dynamics, 11(1), pp.1616-1641. [WEB]
[TRANSPORTMETRICA A]Zhong, R, Li, X, Liang, Q, Chen, Z,& Pan, T.* (2023).A projected Newton-like inertial dynamics for modeling day-to-day traffic evolution with elastic demand. Transportmetrica A: Transport Science, pp.1-29. [WEB]
[TRANSPORT RES D-TR E]Deng, Y, Chen, Z*, Yan, P,& Zhong, R. (2023).Battery swapping and management system design for electric trucks considering battery degradation. Transportation Research Part D: Transport and Environment, 122 pp.103860. [PDF]
[TRANSPORT RES B-METH]Liang, Q, Li, X, Chen, Z, Pan, T,& Zhong, R.* (2023).Day-to-day traffic control for networks mixed with regular human-piloted and connected autonomous vehicles. Transportation Research Part B: Methodological, 178 pp.102847. [PDF]
[TRANSPORT RES B-METH]Su, Z. C., Chow, A. H.*, Fang, C. L., Liang, E. M., & Zhong, R. X. (2023). Hierarchical control for stochastic network traffic with reinforcement learning. Transportation Research Part B: Methodological, 167, 196-216.
[ITS]Jiang, S., Pan, T., Zhong, R.*, Chen, C., Li, X. A., & Wang, S. (2022). Coordination of Mixed Platoons and Eco-Driving Strategy for a Signal-Free Intersection. IEEE Transactions on Intelligent Transportation Systems. [PDF]
[AAAI]Liang, E., Su, Z., Fang, C., & Zhong, R.* (2022, June). OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 4, pp. 4550-4558).（人工智能顶会）[WEB]
[TRANSPORT RES C-EMER]Chen, C., Huang, Y. P., Lam, W. H. K., 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. [PDF]
[ISTTT]Chen, C., Huang, Y. P., Lam, W. H. K., Pan, T. L., Hsu, S. C., Sumalee, A., & Zhong, R. X.*(2022). Learning the macroscopic traffic dynamics for adaptive optimal perimeter control with integral reinforcement learning. Proceedings of the 24th International Symposium on Transportation and Traffic Theory.(交通领域顶会ISTTT)
[TAC]Wang, S., Zhang, H.*, Baldi, S.*, & Zhong, R. (2022). Leaderless consensus of heterogeneous multiple Euler-Lagrange systems with unknown disturbance. IEEE Transactions on Automatic Control.（控制学科顶刊） [PDF]
[TRANSPORT RES C-EMER]Chow, A. H.*, Su, Z. C., Liang, E. M., & Zhong, R. X. (2021). Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning. Transportation Research Part C: Emerging Technologies, 129, 103264. [PDF]
[TRANSPORT RES C-EMER]Zhong, R., Xiong, J., Huang, Y., Zheng, N., Lam, W. H., Pan, T.*, & He, B.* (2021). Dynamic user equilibrium for departure time choice in the basic trip-based model. Transportation Research Part C: Emerging Technologies, 128, 103190. [PDF]
[ISTTT]Su, Z. C., Chow, A. H.*, & Zhong, R. X. (2021). Adaptive network traffic control with an integrated model-based and data-driven approach and a decentralised solution method. Transportation Research Part C: Emerging Technologies, 128, 103154. [PDF]
被交通顶会International Symposium on Transportation and Traffic Theory Series(ISTTT)收录
[TNNL]Liang, E., Wen, K., Lam, W. H., Sumalee, A., & Zhong, R.* (2021). An integrated reinforcement learning and centralized programming approach for online taxi dispatching. IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4742-4756.（计算智能顶刊）[PDF]
[TRANSPORT RES C-EMER]Pan, T., Guo, R., Lam, W. H., Zhong, R.*, Wang, W., & He, B.* (2021). Integrated optimal control strategies for freeway traffic mixed with connected automated vehicles: A model-based reinforcement learning approach. Transportation research part C: emerging technologies, 123, 102987. [PDF]
[TRANSPORTMETRICA A]Pan, T., Lam, W. H., Sumalee, A., & Zhong, R.* (2021). Multiclass multilane model for freeway traffic mixed with connected automated vehicles and regular human-piloted vehicles. Transportmetrica A: transport science, 17(1), 5-33. [PDF]
[TRANSPORT RES C-EMER]Su, Z. C., Chow, A. H., Zheng, N., Huang, Y. P., Liang, E. M., & Zhong, R. X.* (2020). Neuro-dynamic programming for optimal control of macroscopic fundamental diagram systems. Transportation Research Part C: Emerging Technologies, 116, 102628. [PDF]
[TITS]Zhong, R., Xiong, J., Huang, Y., Sumalee, A., Chow, A. H., & Pan, T.* (2020). Dynamic system optimum analysis of multi-region macroscopic fundamental diagram systems with state-dependent time-varying delays. IEEE Transactions on Intelligent Transportation Systems, 21(9), 4000-4016. [PDF]
[TRANSPORT RES C-EMER]Zhong, R. X., Cai, H. X., Xu, D. B., Chen, C., Sumalee, A., & Pan, T. L.* (2020). Dynamic feedback control of day-to-day traffic disequilibrium process. Transportation Research Part C: Emerging Technologies, 114, 297-321. [PDF]
[CHINESE J AERONAUT]Wang, S, Zhan, Z, Zhong, R*, Wu, Y,& Peng, Z. (2020).Adaptive distributed observer design for containment control of heterogeneous discrete-time swarm systems. Chinese Journal of Aeronautics, 33(11), pp.2898-2906.（中国科技领军期刊）[PDF]
[TITS]Zhong, R., Xu, R., Sumalee, A., Ou, S., & Chen, Z.* (2020). Pricing environmental externality in traffic networks mixed with fuel vehicles and electric vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(9), 5535-5554. [PDF]
[ISTTT]Zhong, R. X., Xie, X. X., Luo, J. C., Pan, T. L., Lam, W. H. K., & Sumalee, A.* (2020). Modeling double time-scale travel time processes with application to assessing the resilience of transportation systems. Transportation research part B: methodological, 132, 228-248. [PDF]
同时被交通领域顶会International Symposium on Transportation and Traffic Theory Series(ISTTT)收录。
[TRANSPORT RES B-METH]Huang, Y. P., Xiong, J. H., Sumalee, A., Zheng, N., Lam, W. H. K., He, Z. B., & Zhong, R. X.* (2020). A dynamic user equilibrium model for multi-region macroscopic fundamental diagram systems with time-varying delays. Transportation Research Part B: Methodological, 131, 1-25. [PDF]
[TRANSPORT RES B-METH]Zhong, R. X., Huang, Y. P., Chen, C., Lam, W. H. K., Xu, D. B., & Sumalee, A.* (2018). Boundary conditions and behavior of the macroscopic fundamental diagram based network traffic dynamics: A control systems perspective. Transportation Research Part B: Methodological, 111, 327-355. [PDF]
[TRANSPORT RES B-METH]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.
[TRANSPORTMETRICA B]Li, Y., Chow, A. H.*, & Zhong, R. (2019). Control strategies for dynamic motorway traffic subject to flow uncertainties. Transportmetrica B: Transport Dynamics, 7(1), 559-575. [PDF]
[TRANSPORT RES REC]Chen, Z., Qin, X.*, Zhong, R., Liu, P., & Cheng, Y. (2018). Predicting imminent crash risk with simulated traffic from distant sensors. Transportation research record, 2672(38), 12-21. [WEB]
[TRANSPORT RES C-EMER]Zhong, R. X., Luo, J. C., Cai, H. X., Sumalee, A., Yuan, F. F., & Chow, A. H.* (2017). Forecasting journey time distribution with consideration to abnormal traffic conditions. Transportation Research Part C: Emerging Technologies, 85, 292-311. [PDF]
[TRANSPORT RES B-METH]Andy.H.F. Chow, S. Li*, R.X. Zhong. 2017.Multi-objective optimal control formulations for bus service reliability with traffic signals, Transportation Research Part B, 103: 248~268. [PDF]
[INT J SYST SCI]S.T. Sun, X.D. Li, R.X. Zhong*. 2017. An open-closed-loop iterative learning control approach for nonlinear switched systems with application to freeway traffic control, International Journal of Systems Science, 8(13): 2752~2763.
[TRANSPORT RES C-EMER]T.L.Pan, W. H. K. LAM, A. SUMALEE, R.X. Zhong*.2016. Modelling the impacts of mandatory and discretionary lane-changing maneuvers. Transportation Research Part C, 68, 403-424.
[TRANSPORT RES C-EMER]R.X. Zhong, K.Y. Fu, A. SUMALEE, D. Ngoduy*, W. H. K. LAM.2016. A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models. Transportation Research Part C, 63, 147-169. [PDF]
[TRANSPORTMETRICA A]R.X.Zhong*, F.F. Yuan, T.L.Pan, Andy.H.F. Chow, C. Chen, Z. Yang. 2016. Linear complementarity system approach to macroscopic freeway traffic modeling: Uniqueness and convexity. Transportmetrica A: Transport Science, 12 (2), 142–174.
[J ADV TRANSPORT]R.X. Zhong, C. Chen, Andy. H.F. Chow, T.L.Pan, F.F. Yuan, Z.C. He*. 2016. Automatic calibration of fundamental diagram for first-order macroscopic freeway traffic models. Journal of Advanced Transportation, 50(3),363–385. [PDF]
[TRANSPORTMETRICA B]Z.C. He*, Y.S. Wang. W, P. Huang, L. Zhang, R.X. Zhong.2016. Modelling car-following behavior with lateral separation and overtaking expectation. Transportmetrica B: Transport Dynamics, 4(3): 223~239. [WEB]
[TRANSPORTMETRICA A]R.X. Zhong*, A. SUMALEE, T.L. Pan, W. H. K. LAM. 2014. Optimal and robust strategies for traffic management under demand and supply uncertainties: An overview and general theory. Transportmetrica A: Transport Science, 10 (10), 849-877.
与本人博士论文获得第十七届香港交通研究学会国际会议最佳博士论文与论文奖和Gordon Newell纪念奖
[ITS]T.L. Pan, A. SUMALEE, R.X. Zhong*, N. Indrapayoong. 2013. Short-term traffic state prediction based on temporal-spatial correlation. IEEE Transactions on Intelligent Transportation Systems, Vol 14 (3), 1242 – 1254. [PDF]
[TRANSPORT RES C-EMER]A.SUMALEE, T.L. Pan, R.X. Zhong*, N. Uno.2013. Dynamic stochastic journey time estimation and reliability analysis using stochastic cell transmission model: Algorithm and case studies. Transportation Research Part C, Vol. 35, 263–285. [PDF]
[TRANSPORTMETRICA A]Zhong, R. X., Sumalee, A.*, Pan, T. L., & Lam, W. H. K. (2013). Stochastic cell transmission model for traffic network with demand and supply uncertainties. Transportmetrica A: Transport Science, 9(7), 567-602. [WEB]
该论文的会议版本曾获第十四届香港交通研究学会国际会议优秀学生论文一等奖(第二名)
[J ADV TRANSPORT]R.X. Zhong, A. SUMALEE*, T. Maruyama. 2012. Dynamic marginal cost, access control, and pollution charge: A comparison of bottleneck and whole link models. Journal of Advanced Transportation, 46 (3), 191-221. [PDF]
[TRANSPORT RES B-METH]R.X. Zhong, A. SUMALEE*, T. L. Friesz, W. H. K. LAM. 2011. Dynamic user equilibrium with side constraints for a traffic network: Theoretical development and numerical solution algorithm. Transportation Research Part B, 45 (7), 1035-1061. [PDF]
[TRANSPORT RES B-METH]A.SUMALEE*, R.X. Zhong, T.L. Pan, W.Szeto. 2011. Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment. Transportation Research Part B, 45 (3), 507-533. [PDF]
[ASIAN J CONTROL]R.X. Zhong, Z. Yang*. 2006. Delay-dependent robust control of descriptor systems with time delay. Asian Journal of Control, 8 (1), 36-44.
[Journal of Control Theory and Applications]R.X. Zhong, Z. Yang*,G. Wang. 2006. On delay-dependent robust stability of neutral systems. Journal of Control Theory and Applications, 4 (2), 181-186. [WEB]
[Journal of Control Theory and Applications]R.X. Zhong, Z. Yang*. 2005. Robust stability analysis of singular linear system with delay and parameter uncertainty. Journal of Control Theory and Applications, 3 (2), 195-199. [WEB]