一、个人基本信息
钟任新 中山大学 教授/博士生导师
联系电话:18312057487
电子邮件:zhrenxin@mail.sysu.edu.cn; cezhong@gmail.com
二、基本简介
现任中山大学智能工程学院教授,广东省智能交通系统重点实验室副主任;主要研究方向为城市交通系统建模、动态交通分配理论、最优控制和非线性控制、强化学习与智能交通系统应用、数据挖掘、低空交通控制等;作为负责人,先后主持国家、省部级及横向项目15项;发表SCI/SSCI期刊论文近60篇,其中40多篇"三高"论文发表于业界公认交通领域国际顶刊TR-Part B/C、IEEE T-ITS、交通领域顶会ISTTT和人工智能顶会AAAI上。
现任中科院1区(交通Top)SCI期刊《Transportation Research Part C》编委,SCI/SSCI期刊《 Transportmetrica B: Transport Dynamics》、《Transportmetrica A: Transport Science》任副主编和特刊客座编辑,《IET Intelligent Transportation Systems》特刊客座编辑,中国高质量科技期刊T1级期刊《交通信息与安全》编委,《Automatica》、《Transportation Science》、《Transportation Research PartB、C、E》系列、《IEEE Transactions》系列等期刊审稿人。
同时指导学生参与多个国内外数据挖掘竞赛均获佳绩,如:国际知识发现和数据挖掘竞赛(2020 KDD CUP)亚军,(2018 KDD CUP)季军,(2017 KDD CUP) 季军,2017 年中国计算机学会(CCF)授予“优秀指导教师奖”(指导的队伍获得“企业经营风险预测赛”第一名);中国计算机学会的国家电网“客户用电异常行为”第一名;以及2017 年“智慧中国杯”全国大数据创新应用大赛(共三个赛题)——交通数据挖掘赛第一名和金融数据挖掘赛第一名,教育数据挖掘赛题第二名等。
三、主要经历
2023.6-至今 中山大学智能工程学院教授
2018.06-2023.06 中山大学智能工程学院副教授
2012.11-2018.06 中山大学工学院副教授
2011.6-2012.11 香港理工大学土木与结构工程学系 博士后(副研究员、研究员)
2010.12-2011.5 香港理工大学土木与结构工程学系 副研究员
2007.8-2007.10 香港理工大学土木与结构工程学系 助理研究员
2007.11-2010.12 香港理工大学 交通运输规划与管理 哲学博士
2005.9-2007.5 香港中文大学机械与自动化系 助教,辅导课程:《现代控制论》,《高级机器人学》
2001.9-2005.7 中山大学电子与通信工程系 工科学士
四、学科方向
- 城市交通系统建模
- 动态交通分配理论
- 统计与机器学习
- 数据挖掘
- 最优控制和非线性控制
- 随机动态规划
- 自适应动态规划和强化学习在智能交通系统的应用
五、科研项目
- 新华都特种电气股份有限公司技术研发项目《新华都 AI 软件开发》,2024, 主持。
- 南德认证检测(中国)有限公司广州分公司技术研发项目 《采用嵌入式人工智能的机械安全保护装置的合规性评估方法研究》,2024至今,主持。
- 国家自然科学基金面上项目《网联自动驾驶环境下基于宏观基本图的动态系统最优模型》(No.72071214),2021-2024,主持。
- 国家重点研发计划、科学技术部、重点专项 《车路协同网络交通态势演化规律及可靠性》(子课题:车路协同网络交通态势演化规律及可靠性)(No.2018YFB1600503),2019-2022,子课题负责人。
- 国家自然科学基金 基于大数据的智慧交通基础理论与关键技术(子课题:城市交通出行规律挖掘与演化分析)(No.U1811463),2019-2022,子课题负责人。
- 北京嘀嘀无限科技发展有限公司技术研发项目《非固定站点的车辆实时鲁棒调度策略》。
- 广东方纬科技有限公司技术研发项目《韶关市重点车数据预处理与研判分析模块开发》,主持。
- 广东方纬科技有限公司技术研发项目《基于视频的路口监控一体化系统开发》,主持。
- 国家科技支撑计划子课题《突发事件快速定位报警技术研究》(No. 2014BAG01B05),主持。
- 国家自然科学基金《二维离散动态系统的迭代学习控制理论研究》(No. 61573385), 排名第二。
- 国家自然科学基金《面向随机交通网络行程时间预测的数据融合》(No. 513111163),2014-2016,主持。
- 国家自然科学基金《实时交通事件影响评估模型研究及其应用》(No.51308559),2014-2016,主持。
- 国家高技术研究发展计划(863计划)《中心城市交通状态感知与信息分析》,(No.2012AA112311)主要研究人员。
- 泰国高速公路管理局:智能交通规划与高速公路监测与控制系统(主要研发人员):负责交通仿真模型研发(根据本人博士论文工作),网站设计(不包括编写),数据处理算法,交通网络性能指标设计等。
- 中山大学“985工程三期”公共安全数字化技术科技创新平台配套经费,2013,主持。
- 教育部高等学校博士学科点专项科研基金《基于随机动态交通模型的网络可靠性分析及其应用》(No. 20130171120032), 主持。
- 中山大学“百人计划”引进人才启动经费,2012-2014,主持。
论著专利
1.期刊论文:
- 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(In Press).(交通领域顶刊)
- 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.
- 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.
- 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.
- 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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, 110679.(控制学科顶刊)
- 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.
- 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)
- 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.
- 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)
- 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)
- 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.
- 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.
- 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.
被交通顶会International Symposium on Transportation and Traffic Theory Series(ISTTT)收录 - 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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)
- 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.
- 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.
同时被交通领域顶会International Symposium on Transportation and Traffic Theory Series(ISTTT)收录。 - 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 - 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.
- 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.
- 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.
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) - 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.
- 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.
- 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.
- R.X. Zhong, Z. Yang*. 2006. Delay-dependent robust control of descriptor systems with time delay. Asian Journal of Control, 8 (1), 36-44.
- 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.
- 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.
2.授权专利:
1. 钟任新、方炽霖、李昕岸、金啸、苏子诚. 一种交通信号控制方法、装置、设备及存储介质. 申请日:2021/9/18. 授权日:2022/8/30. 专利号:202111094984.0(发明专利)
2. 胡胜、钟任新、黄文滔、谢秀霞、李绍状、詹志. 基于行程时间演化的交通异常识别方法、系统及存储介质. 申请日:2020/1/7. 授权日:2021/6/1. 专利号: 202010015303.6(发明专利)
3. 陈灿,钟任新,罗佳晨,蔡恒兴,黄云萍. 一种基于函数型主成分分析的实时行程时间预测. 申请日: 2017/7/24. 授权日: 2021/9/7. 专利号:201710607411.0(发明专利)
4. 傅恺延、钟任新. 基于线性策略的交叉熵算法的交通仿真模型参数标定方法. 申请日:2016/4/13. 授权日:2019/11/19. 专利号:201610231247.3 (发明专利)
5. 蔡恒兴、钟任新、徐若辰、黄云萍、罗佳晨. 基于趋势性指标及波动性指标的交通事件自动检测方法. 申请日:2016/11/24. 授权日:2019/2/19. 专利号:201611050875.8, (发明专利)
6. 蔡恒兴、钟任新、钟嘉明. 基于动态时间规整的车辆终点及行程时间计算方法. 申请日:2016/9/19. 授权日: 2019/6/25. 专利号:201610831496.6(发明专利)
六、获奖情况
荣誉获奖情况
1. 中国计算机学会(CCF)优秀指导教师.(2017年12月)
2. 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.(2012年12月)
3. 第十四届香港交通研究学会议,优秀学生论文一等奖.(2009年12月)
4. 香港理工大学博士生奖学金.(2007-2010)
5. 香港中文大学研究生奖学金.(2005-2007)
6. 中山大学优秀毕业论文奖 2005
指导学生和队伍获得:
1. 2016年中国计算机学会(CCF) 大数据与计算智能大赛“国家电网客户用电异常行为”第一名,2016 “携程云海”数据挖掘竞赛冠军
2. 2017 年“智慧中国杯”全国大数据创新应用大赛(共三个赛题)—— 交通数据挖掘赛第一名和金融数据挖掘赛第一名,教育数据挖掘赛题第二名;
3. 2017年中国计算机学会(CCF) 大数据与计算智能大赛“企业经营风险预测赛”第一名
4. 2017国际知识发现和数据挖掘竞赛(KDD Cup 2017)季军
5. 2018国际知识发现和数据挖掘竞赛(KDD Cup 2018)季军
6. 2020国际知识发现和数据挖掘竞赛(KDD Cup 2020)亚军
七、主要学术兼职
1. 2016年3月至今 中科院2区SCI/SSCI期刊《Transportmetrica B》副主编
2. 2019年8月至今 中科院2区SCI/SSCI期刊《Transportmetrica A》副主编
3. 2023年6月至今 中国高质量科技期刊T1级期刊《交通信息与安全》编委
4. 2023年9月至今 中科院1区SCI/SSCI期刊,交通领域顶刊《Transportation Research Part C》编委
5. 广东省智能交通系统重点实验室副主任
国际刊物审稿人:
Transportation Science;
Transportation Research Part B;
Automatica;
Transportation Research Part C;
IEEE Transactions on Intelligent Transportation Systems;
Transportation Research Part E;
Transportmetrica A: Transport Science;
Transportmetrica B: Transport Dynamics;
Transportation;
Networks and Spatial Economics;
IEEE Transactions on Neural Networksand Learning Systems;
IET Control Theory and Application;
International Journal of Robust and Nonlinear Control;
Journal of Advanced Transportation;
International Journal of Sustainable Transportation;
Transport Policy;
Asian Journal of Control;
Public Transport;
Journal of Control Theory and Application