Dihua，Sun, Professor of Chongqing University, China
He received his Ph.D. degree in manufacturing engineering and master's degree in automatic control engineering from Chongqing University, Chongqing, China, respectively in 1997 and 1989. He received his bachelor's degree in automatic control engineering from Huazhong University of Science and Technology, Wuhan, China, in 1982. He was a senior visiting scholar in University of Waterloo, Canada, from 2003 to 2004.
He is currently the Professor of the School of Automation and the Director of Institute of Smart Transportation and Control, Chongqing University, and the Director of Chongqing Engineering Research Center of Intelligent Transportation Systems, the academic leading person of Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education.
Contact Information
Telephone: +86-23-65106953
Fax: +86-23-65106953
Email: dsun@cqu.edu.cn, d3sun@163.com
Address: Shazheng Street174#, Shapingba District,Chongqing, 400044,China
Education
Ph.D., (E.E.), Chongqing University, Chongqing, P. R. China, 1997.
M.S., (E.E.), Chongqing University, Chongqing, P. R. China, 1989.
B.S., (E.E.), Huazhong University of Science and Technology, Wuhan, P. R. China, 1982.
Academic Experience
Professor, 10/2002- present, Chongqing University, Chongqing, P. R. China
Visiting Scholar, 1/2003 –2/2004, University of Waterloo, Canada
Associate Professor, 5/1996-10/2002, Chongqing University, Chongqing, P. R. China
Lecturer, 4/1989–5/1996, Chongqing University, Chongqing, P. R. China
Research Interests
Intelligent Transportation Systems
Cyber-physical Systems
Data-Driven Perception and Control
Intelligent Vehicle
Manufacturing Automation
Publications
Part I – Books
[1] Dihua, Sun., Chuan Tian and Weining Liu. Theory and Method of Cooperative Driving in Road Traffic Flow [M]. Science Press, 2019
[2] Chengzhi, Yang., Dihua, Sun., and Changsheng, Zhang. System identification and adaptive control [M]. Chongqing University Press, 2003
Part II – Referred Journal Papers (selected)
[1] Wan, P., Sun, D. H., Zhao, M., Huang, S. Multistability for Almost-Periodic Solutions of Takagi-Sugeno Fuzzy Neural Networks with Nonmonotonic Discontinuous Activation Functions and Time-Varying Delays. IEEE Transactions on Fuzzy Systems, 2021, 29(2), 400-414.
[2] Chen, J., Sun, D. H., Zhao, M., Li, Y., Liu, Z. A New Lane Keeping Method Based on Human-Simulated Intelligent Control. IEEE Transactions on Intelligent Transportation Systems, (2021).
[3] Zhao, H., Sun, D. H., Zhao, M., Pu, Q., Tang, C. Combined Longitudinal and Lateral Control for Heterogeneous Nodes in Mixed Vehicle Platoon Under V2I Communication. IEEE Transactions on Intelligent Transportation Systems, (2021).
[4] Zhang, Y., Zhao, M., Sun, D. H., Wang, S. H., Huang, S., Chen, D. Analysis of mixed traffic with connected and non-connected vehicles based on lattice hydrodynamic model. Communications in Nonlinear Science and Numerical Simulation, 2021, 94, 105541.
[5] Li, Y., Sun, D. H., Zhao, M., Chen, J., Liu, Z., Cheng, S., Chen, T. MPC-based switched driving model for human vehicle co-piloting considering human factors. Transportation Research Part C: Emerging Technologies, 2020, 115, 02612.
[6] Wan, P., Sun, D. H., Zhao, M., Zhao, H. Monostability and Multistability for Almost-Periodic Solutions of Fractional-Order Neural Networks with Unsaturating Piecewise Linear Activation Functions. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12), 5138-5152.
[7] Wan, P., Sun, D. H., Zhao, M., Wan, L., Jin, S. Multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions. Neural Networks, 2020, 122, 231-238.
[8] Wan, P., Sun, D. H., Zhao, M., Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control. Neural Networks, 2020, 123, 1-11.
[9] Zhang, Y., Zhao, M., Sun, D. H., Dong, C. An extended continuum mixed traffic model. Nonlinear Dynamics, 2021, 103(2), 1891-1909.
[10] Chen, D., Sun, D. H., Liu, H., Zhao, M., Li, Y., Wan, P. Robust control for cooperative driving system of heterogeneous vehicles with parameter uncertainties and communication constraints in the vicinity of traffic signals. Nonlinear Dynamics, 2020, 99(2), 1659-1674.
[11] Chen, D., Sun, D. H., Zhao, M., Yang, L.-Y., Zhou, T., Xie, F. Distributed robust H∞ control of connected eco-driving system with time-varying delay and external disturbances in the vicinity of traffic signals. Nonlinear Dynamics, 2018, 92(4), 1829-1844.
[12] Sun, D. H., Liu, H., Zhang, G. A new lattice hydrodynamic model with the consideration of flux change rate effect. Nonlinear Dynamics, 2018, 92(2), 351-358.
[13] Zhang, G., Sun, D. H., Zhao, M. Phase transition of a new lattice hydrodynamic model with consideration of on-ramp and off-ramp. Communications in Nonlinear Science and Numerical Simulation, 2018, 54, 347-355.
[14] Sun, D. H., Zhang, G., Liu, W.-N., Zhao, M., Cheng, S.-L., Zhou, T. Effect of explicit lane changing in traffic lattice hydrodynamic model with interruption. Nonlinear Dynamics, 2016, 86(1), 269-282.
[15] Liu, H., Sun, D. H., Zhao, M. Analysis of traffic flow based on car-following theory: a cyber-physical perspective. Nonlinear Dynamics, 2016, 84(2), 881-893.
[16] Zhang, G., Sun, D. H., Liu, W. N. Erratum to: Analysis of a new two-lane lattice hydrodynamic model with consideration of the global average flux. Nonlinear Dynamics, 2016, 83(3), 1783.
[17] Zhang, G., Sun, D. H., Liu, W.-N. Analysis of a new two-lane lattice hydrodynamic model with consideration of the global average flux. Nonlinear Dynamics, 2015, 81(4), 1623-1633.
[18] Sun, D. H., Zhang, G., Liu, W.-N., Zhao, M., Cheng, S.-L. Analysis of anticipation driving effect in traffic lattice hydrodynamic model with on-ramp. Nonlinear Dynamics, 2015, 81(1-2), 907-916.
[19] Zhou, T., Sun, D. H., Kang, Y., Li, H., Tian, C. A new car-following model with consideration of the prevision driving behavior. Communications in Nonlinear Science and Numerical Simulation, 2014, 19 (10), 3820-3826.
[20] Kang, Y.-R., Sun, D. H. Lattice hydrodynamic traffic flow model with explicit drivers' physical delay, Nonlinear Dynamics, 2013, 71(3), 531-537.
[21] Zheng, L.-J., Tian, C., Sun, D. H., Liu, W.-N. A new car-following model with consideration of anticipation driving behavior. Nonlinear Dynamics, 2012, 70 (2), 1205-1211.
[22] Li, Y., Sun, D. H., Liu, W., Zhang, M., Zhao, M., Liao, X., Tang, L. Erratum: Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference. Nonlinear Dynamics, 2011, 66, 15-28.
[23] Tian, C., Sun, D. H., Zhang, M. Nonlinear analysis of lattice model with consideration of optimal current difference. Communications in Nonlinear Science and Numerical Simulation, 2011, 16(11), 4524-4529.
[24] Li, Y., Sun, D. H., Liu, W., Zhang, M., Zhao, M., Liao, X., Tang, L. Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference. Nonlinear Dynamics, 2011, 66(1-2), 15-28.
[25] Chen, J., Sun, D. H., Zhao, M., Li, Y., Liu, Z. DCFS-based deep learnin supervisory control for modeling lane keeping of expert drivers. Physica A: Statistica Mechanics and its Applications, 2021, 567, 125720.
[26] Jin, S., Sun, D. H., Liu, Z. The Impact of Spatial Distribution of Heterogeneous Vehicles on Performance of Mixed Platoon: A Cyber-Physical Perspective. KSCE Journal of Civil Engineering, 2021, 25 (1), 303-315.
[27] Wang, B., Sun, D. H., Zu, H., Wu, C., Zhang, D., Chen, X. Fusion Positioning System Based on IMU and Roadside LiDAR in Tunnel for C-V2X Use. SAE Technical Papers, 2020.
[28] Zhou, Z., Zhao, M., Sun, D. H., Chen, D., Zhang, Y., Wang, S. An extended lattice hydrodynamic model with time delay based on non-lane discipline. Modern Physics Letters B, 2020, 34(22), 2050227.
[29] Jin, S., Sun, D. H., Zhao, M., Li, Y., Chen, J. Modeling and stability analysis of mixed traffic with conventional and connected automated vehicles from cyber physical perspective. Physica A: Statistical Mechanics and its Applications, 2020, 551, 124217.
[30] Sun, D. H., Jin, S., Liu, H., Zhao, M., Liu, Z. C. Consensus Phenomenon and Characteristics of Vehicle Cooperative Driving. Journal of Transportation Engineering Part A: Systems, 2020, 146 (7), 04020054.
[31] Li, Y., Zhao, M., Sun, D. H., Chen, J., Liu, W. A new longitudinal car-following control scheme of AVs towards the non-connected situation. Modern Physics Letters B, 2020, 34(13), 2050135.
[32] Chen, D., Zhao, M., Sun, D. H., Zheng, L., Jin, S., Chen, J., Robust H∞ control of cooperative driving system with external disturbances and communication delays in the vicinity of traffic signals. Physica A: Statistical Mechanics and its Applications, 2020, 542, 123385.
[33] Liu, C., Sun, D. H., Yang, Z., Liu, X., Yang, H., Huang, J. Stabilization of switched neural networks with time-varying delay via bumpless transfer control. Asian Journal of Control, 2020, 22(2), 1008-1020.
[34] Liu, Z., Sun, D. H., Zhao, M., Li, Y., Chen, J. CPS-Based Human-Vehicle Co-Pilot Switching Strategy under Different Information Flow Topologies. IEEE Access, 2020, 8, 125943-125952.
[35] Sun, D. H., Huang, Y., Zhao, M., Chen, D., Han, W. Recognition of Fatigue Driving Based on Steering Operation Using Wearable Smart Watch. Lecture Notes in Electrical Engineering, 2020, 617, 235-248.
[36] Chen, D., Sun, D. H., Li, Y., Zhao, M., Zheng, L.J. Robust Stabilization and H∞ Control of Cooperative Driving System with Time Delay in Variable Speed-Limited Area from Cyber-Physical Perspective. Asian Journal of Control, 2020, 22(1), 373-387.
[37] Wan, P., Sun, D. H., Chen, D., Zhao, M., Zheng, L. Exponential synchronization of inertial reaction-diffusion coupled neural networks with proportional delay via periodically intermittent control. Neurocomputing, 2019, 356, 195-205.
[38] Zhao, M., Wang, S.-H., Sun, D. H., Wang, X.-J. A Car-Following Model Considering Preceding Vehicle's Lane-Changing Process. IEEE Access, 2019, 89913-89923.
[39] Sun, D. H., He, Y., Zhao, M., Cheng, S. Cooperative driving modelling in the vicinity of traffic signals based on intelligent driver model. IET Intelligent Transport Systems, 2018, 12(10), 1236-1242.
[40] Liu, C., Yang, Z., Sun, D. H., Liu, X., Liu, W. Stability of switched neural networks with time-varying delays. Neural Computing and Applications, 2018, 30(7), 2229-2244.
[41] Sun, D. H., Tan, P., Chen, D., Xie, F., Guan, L.-H. Burgers and mKdV equation for car-following model considering drivers' characteristics on a gradient highway. Modern Physics Letters B, 2018, 32(26).
[42] Zhang, G., Sun, D. H., Zhao, M., Liao, X.-Y., Liu, W.-N., Zhou, T. An extended car-following model accounting for cooperation driving system with velocity uncertainty. Physica A: Statistical Mechanics and its Applications, 2018, 505, 1008-1017.
[43] Chen, D., Sun, D. H., Zhao, M., He, Y., Liu, H. Weakly nonlinear analysis for car-following model with consideration of cooperation and time delays. Modern Physics Letters B, 2018, 32(21).
[44] Tan, P., Sun, D. H., Chen, D., Zhao, M., Chen, T. Stability analysis of car-following model on straight and curved roads considering the preceding vehicle's velocity feedback control. Modern Physics Letters B, 2018, 32(21).
[45] Yang, L.-Y., Zhao, M., Sun, D. H., Liu, H. Variable speed limit control scheme for vehicle in the vicinity of signalized intersection. Modern Physics Letters B, 2018, 32(19).
[46] Sun, D. H., Chen, D., Zhao, M., Liu, W., Zheng, L. Linear stability and nonlinear analyses of traffic waves for the general nonlinear car-following model with multi-time delays. Physica A: Statistical Mechanics and its Applications, 2018, 501, 293-307.
[47] Chen, D., Sun, D. H., Zhao, M., Zhou, T., Cheng, S. Modeling and analyses for an extended car-following model accounting for drivers’ situation awareness from cyber physical perspective. Physica A: Statistical Mechanics and its Applications, 2018, 501, 52-68.
[48] Liu, C., Sun, D. H., Liu, X. Stability of Variable-Time Impulsive Systems with Delays via Generalized Razumikhin Technique and Application to Impulsive Neural Networks. Neural Processing Letters, 2018, 47(2), 641-659.
[49] Yang, L.-Y., Sun, D. H., Zhao, M., Cheng, S.-L., Zhang, G., Liu, H. The influence of continuous historical velocity difference information on micro-cooperative driving stability. Physica A: Statistical Mechanics and its Applications, 2018, 494, 294-301.
[50] He, Y., Sun, D. H., Zhao, M., Cheng, S. Cooperative Driving and Lane Changing Modeling for Connected Vehicles in the Vicinity of Traffic Signals: A Cyber-Physical Perspective. IEEE Access, 2018, 6, 13891-13897.
[51] Sun, D. H., Zhang, G., Zhao, M., Cheng, S.-L., Cao, J.-D. Stability analysis of feedforward anticipation optimal flux difference in traffic lattice hydrodynamic theory. Communications in Nonlinear Science and Numerical Simulation, 2018, 56, 287-295.
[52] Zhao, M., Chen, X., Sun, D. H. An incident detection method considering meteorological factor with fuzzy logic. Engineering Review, 2018, 38(1), 104-114.
[53] Zhao, H., Sun, D. H., Yue, H., Zhao, M., Cheng, S. Dynamic trust model for Vehicular Cyber-Physical Systems. International Journal of Network Security, 2018, 20(1), 157-167.
[54] Li, Y., Sun, D. H., Zhao, M., Chen, D., Cheng, S., Xie, F. Switched Cooperative Driving Model towards Human Vehicle Copiloting Situation: A Cyberphysical Perspective. Journal of Advanced Transportation, 2018.
[55] Zhang, G., Sun, D. H., Liu, H., Chen, D. Stability analysis of a new lattice hydrodynamic model by considering lattice's self-anticipative density effect. Physica A: Statistical Mechanics and its Applications, 2017, 486, 806-813.
[56] Liu, C., Yang, Z., Sun, D. H., Liu, X., Liu, W. On the Reachability of Discrete-Time Switched Linear Systems. Journal of Dynamical and Control Systems, 2017, 23(4), 815-823.
[57] Liu, C., Yang, Z., Sun, D. H., Liu, X., Liu, W. Synchronization of Chaotic Systems with Time Delays via Periodically Intermittent Control. Journal of Circuits, Systems and Computers, 2017, 26(9).
[58] Liu, C., Yang, Z., Sun, D. H., Liu, X., Liu, W. Stability of Variable-Time Switched Systems. Arabian Journal for Science and Engineering, 2017, 42(7), 2971-2980.
[59] Zhao, H., Sun, D. H., Yue, H., Zhao, M., Cheng, S. Using CSTPNs to model traffic control CPS. IET Software, 2017, 11(3), 116-125.
[60] Sun, D. H., Zhao, H., Yue, H., Zhao, M., Cheng, S., Han, W. ST TD outlier detection. IET Intelligent Transport Systems, 2017, 11(4), 203-211.
[61] Zhang, G., Sun, D. H., Zhao, M., Liu, H., Chen, D., Li, Y. Stability analysis of car-following model with uncertainty in perceiving velocity. Advances in Intelligent Systems and Computing, 2017, 454, 409-415.
[62] Sun, D. H., Zhao, H., Cheng, S. A novel membership cloud model-based trust evaluation model for vehicular ad hoc network of T-CPS. Security and Communication Networks, 2016, 9(18), 5710-5723.
[63] Liu, H., Sun, D. H., Liu, W. Lattice hydrodynamic model based traffic control: A transportation cyber–physical system approach. Physica A: Statistical Mechanics and its Applications, 2016, 461, 795-801.
[64] Liu, H., Sun, D. H., Zhao, M. A model prediction control based framework for optimization of signaled intersection: A cyber-physical perspective. Optik, 2016, 127(20), 10068-10075.
[65] Zhang, G., Zhao, M., Sun, D. H., Liu, W.-N., Li, H.-M. Stabilization effect of multiple drivers' desired velocities in car-following theory. Physica A: Statistical Mechanics and its Applications, 2016, 442, 532-540.
[66] Sun, D. H., Kang, Y., Yang, S. A novel car following model considering average speed of preceding vehicles group. Physica A: Statistical Mechanics and its Applications, 2015, 436, 103-109.
[67] Zhang, G., Sun, D. H., Liu, W.-N., Zhao, M., Cheng, S.-L. Analysis of two-lane lattice hydrodynamic model with consideration of drivers' characteristics. Physica A: Statistical Mechanics and its Applications, 2015, 422, 16-24.
[68] Kang, Y.-R., Sun, D. H., Yang, S.-H. A new macro model considering the average speed of preceding vehicles group in CPS environment. Mathematical Problems in Engineering, 2015.
[69] Zhang, G., Sun, D. H., Liu, W.-N., Liu, H. Traffic stability of a car-following model considering driver's desired velocity. Modern Physics Letters B, 2015, 29(19).
[70] Sun, D. H., Liu, H., Zhang, G., Zhao, M. The new car following model considering vehicle dynamics influence and numerical simulation. International Journal of Modern Physics C, 2015, 26(7).
[71] Zhang, G., Sun, D. H., Zhao, M., Liu, W.-N., Cheng, S.-L. Analysis of average density difference effect in a new two-lane lattice model. International Journal of Modern Physics C, 2015, 26(6).
[72] Dong, S., Sun, D. H., Tang, B., Gao, Z., Wang, Y., Yu, W., Xia, M. Bearing degradation state recognition based on kernel PCA and wavelet kernel SVM Proceedings of the Institution of Mechanical Engineers. Part C: Journal of Mechanical Engineering Science, 2015, 229(15), 2827-2834.
[73] Sun, D. H., Zhang, M., Chuan, T. Multiple optimal current difference effect in the lattice traffic flow model. Modern Physics Letters B, 2014, 28(11).
[74] Sun, D. H., Sang, C.-Y. Nonnegative matrix factorization-based spatial-temporal clustering for multiple sensor data streams. Journal of Sensors, 2014.
[75] Sang, C.-Y., Sun, D. H. Co-clustering over multiple dynamic data streams based on non-negative matrix factorization. Applied Intelligence, 2014, 41(2), 487-502.
[76] Zhang, G., Sun, D. H., Liu, H., Zhao, M. Analysis of drivers' characteristics in car-following theory. Modern Physics Letters B, 2014, 28 (24).
[77] Sun, D. H., He, W., Zheng, L.-J., Liao, X.-Y. Scheduling flexible job shop problem subject to machine breakdown with game theory. International Journal of Production Research, 2014, 52 (13), 3858-3876.
[78] Zhou, T., Sun, D. H., Li, H.-M., Liu, W. N. A new coupled map car-following model considering drivers' steady desired speed 2014 Chinese Physics B, 23 (5).
[79] Dong, S., Sun, D. H., Tang, B., Gao, Z., Yu, W., Xia, M. A fault diagnosis method for rotating machinery based on PCA and Morlet kernel SVM. Mathematical Problems in Engineering, 2014.
[80] Zhou, T., Sun, D. H., Zhao, M., Li, H.-M. Feedback control scheme of traffic jams based on the coupled map car-following model, Chinese Physics B, 2013, 22 (9).
[81] He, W., Sun, D. H., Liao, X. Applying novel clone immune algorithm to solve Flexible Job Shop Problem with machine breakdown. Journal of Information and Computational Science, 2013, 10(9), 2783-2797.
[82] Sun, D. H., Zhou, T., Liu, W., Zhao, M., Li, H. The backward looking effect in lattice hydrodynamic model of pedestrian flow. Journal of Information and Computational Science, 2013, 10(7), 2067-2074.
[83] He, W., Sun, D. H. Scheduling flexible job shop problem subject to machine breakdown with route changing and right-shift strategies. International Journal of Advanced Manufacturing Technology, 2013, 66 (1-4), 501-514.
[84] Yang, S., Liu, W., Sun, D. H., Li, C. A new extended multiple car-following model considering the backward-looking effect on traffic flow. Journal of Computational and Nonlinear Dynamics, 2013, 8(1).
[85] Liu, W., Liu, B., Sun, D. H., Li, Y., Ma, G. Study on multi-task oriented services composition and optimisation with the 'Multi-Composition for Each Task' pattern in cloud manufacturing systems. International Journal of Computer Integrated Manufacturing, 2013, 26(8), 786-805.
[86] Cui, M., Sun, D. H., Liu, W., Zhao, M., Liao, X. Adaptive tracking and obstacle avoidance control for mobile robots with unknown sliding. International Journal of Advanced Robotic Systems, 2012, 9.
[87] Liu, W., Yang, S., Sun, D. H., Wang, M. Fast threshold selection for grayscale images based on two-dimensional fuzzy renyi's entropy and quantum genetic algorithm. Information, 2012, 15(9), 3721-3725.
[88] Ma, Q., Liu, W., Sun, D. H. Utilizing hybrid method for GPS data preprocessing. International Journal of Digital Content Technology and its Applications, 2012, 6(6), 53-60.
[89] Zhao, M., Sun, D. H., Tian, C. Density waves in a lattice hydrodynamic traffic flow model with the anticipation effect. Chinese Physics B, 2012, 21(4).
[90] Ma, Q., Liu, W., Sun, D. H., Lar, S.-U. Traffic condition on-line estimation using multi-source data. Journal of Computational Information Systems, 2012, 8(6), 2627-2635.
[91] Li, Y., Sun, D. H., Liu, W. Feedback control of traffic jam based on the full velocity difference car-following model. Journal of Information and Computational Science, 2012, 9(3), 719-730.
[92] Liu, W.N., Zheng, L.J., Sun, D. H., Liao, X.Y., Zhao, M., Su, J.M., Liu, Y.X. RFID-enabled real-time production management system for Loncin motorcycle assembly line. International Journal of Computer Integrated Manufacturing, 2012, 25(1), 86-99.
[93] Tian, C., Sun, D. H., Yang, S.-H. A new lattice hydrodynamic traffic flow model with a consideration of multi-anticipation effect. Chinese Physics B, 2011, 20(8).
[94] Sun, D. H., Liao, X.-Y., Peng, G.-H. Effect of looking backward on traffic flow in an extended multiple car-following model Physica A: Statistical Mechanics and its Applications, 2011, 390 (4), 631-635.
[95] Tian, C., Sun, D. H. Continuum modeling for two-lane traffic flow with consideration of the traffic interruption probability. Chinese Physics B, 2010, 19 (12).
[96] Sun, D. H., Tian, C., Liu, W.-N. A traffic flow lattice model considering relative current influence and its numerical simulation. Chinese Physics B, 2010, 19 (8).
[97] Peng, G. H., Sun, D. H. A dynamical model of car-following with the consideration of the multiple information of preceding cars. Physics Letters, Section A: General, Atomic and Solid State Physics. 2010, 374 (15-16), 1694-1698.
[98] Peng, G. H., Sun, D. H. Multiple car-following model of traffic flow and numerical simulation. Chinese Physics B, 2009, 18 (12), 5420-5430.
[99] Sun, D. H., Peng, G. H. A viscous continuum traffic flow model with consideration of the coupling effect for two-lane freeways. Chinese Physics B, 2009, 18 (9), pp. 3724-3735.
[100] Sun, D. H., Luo, H., Fu, L., Liu, W., Liao, X., Zhao, M. Predicting bus arrival time on the basis of global positioning system data. Transportation Research Record, 2007(2034), 62-72.
Part III- Conference Papers
Over 50 Conference papers including IEEE International Conference on Intelligent Transportation Systems (ITSC), Conference on Decision and Control (CDC), American Control Conference (ACC), International Federation of Automatic Control (IFAC), Chinese Overseas Transportation Association (CATA), Chinese Conference on Control and Decision (CCDC), Chinese Control Conference (CCC), IEEE NN, etc.
Patents
Hold over 100 patents
Research Grants
Received over 30 research grants/awards amounting to approximately $36M.
Awards/Honors
· Urban traffic computer integrated management and control system, Ministry of Education of the People's Republic of China, Science and Technology Progress Award, First Prize, 2002
· Theoretical framework and technical system of manufacturing systems engineering, Ministry of Education of the People's Republic of China, Science and Technology Progress Award, First Prize, 2002
· Research on the analysis, evaluation and prediction technology of highway network traffic operation status, China Intelligent Transportation Association, Science and Technology Progress Award, Second Prize, 2018
· Key technologies and applications of production management in discrete manufacturing industry based on RFID, Chongqing Science and Technology Commission, Science and Technology Progress Award, Second Prize, 2012
· Agile production management technology and application based on Intelligent Object, Excellent achievements in scientific research of institutions of higher learning, Science and Technology Progress Award, Second Prize, 2012
· Research on detection, analysis and application of bus passenger flow based on APC and GPS, China Highway Society, Science and Technology Progress Award, Third Prize, 2009
