Publications

[By Topic] [Find the full publication list in my CV]

Air Traffic Management

1. G. G. N. Sandamali, R. Su, and Y. Zhang. A Safety-Aware Real-time Air Traffic Flow Management Model Under Demand and Capacity Uncertainties. IEEE Transactions on Intelligent Transportation Systems. 2021.

2. G. G. N. Sandamali, R. Su, K. L. K. Sudheera, Y. Zhang and Y. Zhang. Two-stage Scalable Air Traffic Flow Management Model Under Uncertainty. IEEE Transactions on Intelligent Transportation Systems. 2020.

3. G. G. N. Sandamali, R. Su and Y. Zhang. Flight Routing and Scheduling Under Departure and En Route Speed Uncertainty. IEEE Transactions on Intelligent Transportation Systems. 2019.

4. G. G. N. Sandamali, R. Su and Y. Zhang. Short-term En route Air Traffic Flow Management Under Departure and Wind Uncertainty with a Heuristic and Greedy Solution Approach. 2019 American Control Conference. 2019.

5. Y. Zhang, R. Su, G. G. N. Sandamali, Y. Zhang, C. G. Cassandras and L. Xie. A Hierarchical Heuristic Approach for Solving Air Traffic Scheduling and Routing Problem with a Novel Air Traffic Model. IEEE Transactions on Intelligent Transportation Systems, 2018.

6. Y. Zhang, R. Su, N. Sandamali, Y. Zhang and C. G. Cassandras. A Hierarchical Approach for Air Traffic Routing and Scheduling. 56th IEEE Conference on Decision and Control (CDC’17), 2017.

7. Y. Zhang, R. Su, Q. Li, C. G. Cassandras and L. Xie, Distributed flight routing and scheduling in air traffic flow management. IEEE Transactions on Intelligent Transportation Systems, 18(10), 2681-2692, 2017.

8. R. Su and Y. Zhang. A Software Tool for En-route Air Traffic Flow Management in Large Air Traffic Networks. TD-183-17, July 26, 2017.

9. N. Sandamali, R. Su, Y. Zhang and Q. Li. Flight Routing and Scheduling with Departure Uncertainties in Air Traffic Flow Management. 13th IEEE International Conference on Control & Automation (ICCA), 2017.

10. Y. Zhang, R. Su, Q. Li, C. G. Cassandras and L. Xie. Distributed Flight Routing and Scheduling in Air Traffic Flow Management. 55th IEEE Conference on Decision and Control (CDC’16), 2016.

11. Y. Zhang, Q. Li and R. Su. Sector-based Distributed Scheduling Strategy in Air Traffic Flow Management. 14th IFAC Symposium on Control in Transportation Systems (CTS’16), 2016.

12. Q. Li, Y. Zhang and R. Su. A Flow-based Flight Scheduler for En-route Air Traffic Management. 14th IFAC Symposium on Control in Transportation Systems (CTS’16), 2016.

Traffic Light Control & Scheduling

1. Y. Zhang and R. Su. An Optimization Model and Traffic Light Control Scheme for Heterogeneous Traffic Systems. Transportation Research Part C: Emerging Technologies. 2021.

2. R. Su and Y. Zhang. A Hybrid Traffic Light Control Strategy with Congestion Identification. NTU Ref 2021-065. 2021.

3. Y. Zhang and R. Su. A MILP-based Traffic Signal Scheduling Solution with Consideration of Platoon Dispersion. IEEE Intelligent Transportation Systems Conference. 2020.

4. Y. Zhang and J. Shankar. An Adaptive Bus Priority Scheme for Traffic Light Control. I2R Technical Disclosure. 2020.

5. Y. Zhang, J. Shankar and C. W. Ang. A Traffic Signal Control Scheme with Consideration of Pedestrian Demands. I2R Technical Disclosure. 2020.

6. Y. Zhang, R. Su, Q. Chen, Y. Zhang and C. Sun. A Hybrid Traffic Light Control Strategy Based on Branching Ratio Estimation and Congestion Identification. 58th IEEE Conference on Decision and Control. 2019.

7. Y. Zhang. A Distributed Architecture for Real-time Hybrid Traffic Light Control in Urban Transportation Networks. IEEE Intelligent Transportation Systems Conference (IEEE ITSS Young Professionals Travelling Fellowship). 2019.

8. Y. Zhang. Solving Large-Scale Resource Allocation Problems - Formulations, Solutions and Case Studies Thesis for Ph.D. Degree. 2019.

9. Y. Zhang, Y. Zhang and R. Su. Pedestrian-Safety-Aware Traffic Light Control Strategy for Urban Traffic Congestion Alleviation. IEEE Transactions on Intelligent Transportation Systems. 2019.

10. Y. Zhang, Y. Zhang, and R. Su. Optimization of vehicle delay and drivers’ unhappiness at a signalized network: a multi-objective approach. 15th IEEE International Conference on Control & Automation. 2019.

11. K. Gao, Y. Zhang, R. Su, F. Yang, P. N. Suganthan and M. Zhou. Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. IEEE Transactions on Intelligent Transportation Systems. 2018.

12. A. Sadollah, K. Gao, Y. Zhang, Y. Zhang and R. Su. Management of traffic congestion in adaptive traffic signals using a novel classification-based approach. Engineering Optimization. 2018.

13. K. Gao, Y. Zhang, Y. Zhang, R. Su and P. N. Suganthan. Meta-heuristics for Bi-objective Urban Traffic Light Scheduling Problems. IEEE Transactions on Intelligent Transportation Systems. 2018.

14. Y. Zhang, K. Gao, Y. Zhang and R. Su. Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks. IEEE Transactions on Intelligent Transportation Systems. 2018.

15. Y. Zhang, R. Su, Y. Zhang and C. Sun. Modelling and Traffic Signal Control of Heterogeneous Traffic Systems. arXiv, 2017.

16. Y. Zhang, R. Su, C. Sun and Y. Zhang. Modelling and Traffic Signal Control of a Heterogeneous Traffic Network with Signalized and Non-Signalized Intersections. 1st IEEE Conference on Control Technology and Applications (CCTA’17), 2017.

17. Y. Zhang, R. Su and Y. Zhang. A macroscopic propagation model for bidirectional pedestrian flows on signalized crosswalks. 56th IEEE Conference on Decision and Control (CDC’17), 2017.

18. Y. Zhang, R. Su, K. Gao and Y. Zhang. A pedestrian hopping model and traffic light scheduling for pedestrian-vehicle mixed-flow networks. arXiv, 2017.

19. Y. Zhang, R. Su, K. Gao and Y. Zhang. Traffic Light Scheduling for Pedestrians and Vehicles. 1st IEEE Conference on Control Technology and Applications (CCTA’17), 2017.

20. K. Gao, Y. Zhang, Y. Zhang and R. Su. A Meta-heuristic with Ensemble of Local Search Operators for Urban Traffic Light Optimization. The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Honolulu, Hawaii, USA, 2017.

21. K. Gao, Y. Zhang, A. Sadollah, R. Su and A. Lentzakis. Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem. Swarm and Evolutionary Computation, 2017.

22. K. Gao, Y. Zhang, A. Sadollah and R. Su. Improved artificial bee colony algorithm for solving urban traffic light scheduling problem. IEEE Congress on Evolutionary Computation 2017, Donostia/San Sebastian, 2017.

23. K. Gao, Y. Zhang, A. Sadollah and R. Su. Optimizing urban traffic light scheduling problem using harmony search with ensemble of local search. Applied Soft Computing 48 (2016): 359-372, 2016.

24. K. Gao, Y. Zhang, A. Sadollah and R. Su. Java Algorithm for Solving Urban Traffic Signal Control Problem. 14th International Conference on Control, Automation, Robotics and Vision, 2016.

25. K. Gao, A. Sadollah, Y. Zhang and R. Su. Discrete Jaya Algorithm for Flexible Job Shop Scheduling Problem with New Job Insertion. 14th International Conference on Control, Automation, Robotics and Vision, 2016.

26. K. Gao, Y. Zhang, R. Su and A. Lentzakis. Discrete Harmony Search Algorithm for Solving Urban Traffic Light Scheduling Problem. 2016 American Control Conference (ACC’16),2016.

27. Y. Zhang, R. Su and K. Gao. Urban Road Traffic Light Real-Time Scheduling. 54th IEEE Conference on Decision and Control (CDC’15), 2015.

28. Y. Zhang, Y. Su and R. Su. Real-Time Scheduling in Urban Road Traffic Light Control. 14th Asian Pacific Intelligent Transportation System Conference, 2015.

Public Transportation

1. Y. Zhang, R. Su, Y. Zhang and G. G. N. Sandamali. A multi-bus dispatching strategy with loading process. IEEE Transactions on Intelligent Transportation Systems. 2020.

2. Y. Zhang, R. Su and Y. Zhang. A Dynamic Optimization Model for Bus Schedule Design to Mitigate The Passenger Waiting Time by Dispatching The Bus Platoon. 2020 American Control Conference. 2020.

3. Y. Zhang, An Adaptive Bus Priority Scheme for Traffic Light Control. TD. 2019.

Transportation Modelling & Simulation

1. Y. Wang, Y. Zhang, H. Ng, B. Zhao and W. Ng. Dynamic Origin-Destination Estimation Framework with Iterative Traffic Signal Tuning for Microscopic Traffic Simulation. IEEE Intelligent Transportation Systems Conference. 2019.

Aircraft Power Management

1. Y. Zhang, J. Chen, and Y. Yu. Distributed Power Management with Adaptive Scheduling Horizons for More Electric Aircraft. International Journal of Electrical Power and Energy Systems. 2020.

2. Y. Zhang, Y. Yu, R. Su and J. Chen. Power Scheduling in More Electric Aircraft based on An Optimal Adaptive Control Strategy. IEEE Transactions on Industrial Electronics. 2019.

3. Y. Zhang, G. Ooi, S. Dasgupta, M. Husband, R. Su and C. Wen. An Energy Efficient Power Management Solution for a Fault-tolerant More Electric Engine/Aircraft. IEEE Transactions on Industrial Electronics, 2018.

4. Y. Zhang, G. Ooi, S. Dasgupta, M. Husband, R. Su and C. Wen. Design of the Power Management System for Electrical Power Systems in More Electric Engine/Aircraft. International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 2018.

5. G. Ooi, Y. Zhang, S. Dasgupta, M. Husband, D. Wu and C. Wen. Fault Tolerant More Electric Engine/Aircraft Architecture with Integrated Condition-Based Control. International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 2018.

6. Y. Zhang, R. Su, C. Wen, M. Y. Lee and C. Gajanayake. Distributed Power Allocation and Scheduling for Electrical Power System in More Electric Aircraft. 42nd Annual Conference of IEEE Industrial Electronics Society (IECON), 2016.

7. Q. Xu, P. Wang, Y. Zhang, C. Wen and J. Xiao. A decentralized control strategy for economic operation of autonomous AC microgrids. 42nd Annual Conference of IEEE Industrial Electronics Society (IECON), 2016.

8. A. Barzegar, R. Su, C. Wen, L. Rajabpour, Y. Zhang, A. Gupta, C. Gajanayake and M. Y. Lee. Intelligent Power Allocation and Load Management of More Electric Aircraft. IEEE Conference on Power Electronics and Drive Systems (PEDS2015), 2015.

Power System Operation and Management

1. J. Chen, X. Jiang, J. Li, Q. Wu, Y. Zhang, G. Song, and D. Lin. Multi-stage Dynamic Optimal Allocation for Battery Energy Storage System in Distribution Networks with Photovoltaic System. International Transactions on Electrical Energy Systems. 2020.

2. J. Chen, Z. Lin, J. Ren, W. Zhang, Y. Zhou and Y. Zhang. Distributed Multi-Scenario Optimal Sizing of Integrated Electricity and Gas System Based on ADMM. International Journal of Electrical Power and Energy Systems. 2019.

3. H. Zhang, J. Chen and Y. Zhang. Optimal Planning of Integrated Electricity and Natural Gas System Based on C&CG Algorithm. IEEE PES Asia-Pacific Power and Energy Engineering Conference. 2019.

4. X. Wang, J. Chen, G. Song and Y. Zhang. Economic Operation for Microgrid Based on Interval Planning Method with Consideration of Electric Vehicle. IEEE PES Asia-Pacific Power and Energy Engineering Conference. 2019.

5. Z. Lin, J. Chen, J. Ren, G. Song and Y. Zhang. Distributed Optimal Operation for Distribution Networks with Multi-microgrid Based on ADMM. IEEE PES GTD Grand International Conference & Exposition Asia. 2019.

6. J. Li, J. Chen, W. Zhang and Y. Zhang. Bi-level Dispatching Strategy for HESS in Distribution Networks with High PV Penetration Considering Voltage Regulation and Price Arbitrage. IEEE PES General Meeting, 2018.

7. W. Zhang, J. Chen, J. Li and Y. Zhang. Multi-time Scale Scheduling of Integrated Electricity and Natural Gas System Considering the Dynamic Flow of Natural Gas. IEEE PES International Conference on Innovative Smart Grid Technologies (ISGT Asia 2018), 2018.

8. J. Chen, W. Zhang, Y. Zhang, and G. Bao. Day-ahead Scheduling of Distribution Level Integrated Electricity and Natural Gas System Based on Fast-ADMM with Restart Algorithm. IEEE Access, 2018.

9. J. Chen, J. Li, Y. Zhang and G. Bao. A Hierarchical Optimal Operation Strategy of Hybrid Energy Storage System in Distribution Networks with High Photovoltaic Penetration. Energies, 2018.

10. J. Chen, W. Zhang, J. Li, Y. Liu, B. Zhao and Y. Zhang. Optimal Sizing for Grid-tied Microgrids with Consideration of Joint Optimization of Planning and Operation. IEEE Transactions on Sustainable Energy, 9(1), pp.237-248, 2018.

11. J. Li, J. Chen, W. Zhang, Y. Zhang and G. Bao. Integrated Control Strategy for Battery Energy Storage Systems in Distribution Networks with High Photovoltaic Penetration. Transactions of China Electrotechnical Society, 2018.

12. W. Zhang, J. Chen and Y. Zhang. Bi-level Optimal Dispatch of Microgrid Considering Different Air-conditioning Load Characteristics. Power System Technology, 2017.

13. W. Zhang, J. Chen, H. Zhang, Y. Zhang and T. Li. Optimal Day-ahead Scheduling of Electricity and Natural Gas System at the Distribution Level Considering Uncertainty of Natural Gas Load. 1st IEEE Conference on Energy Internet and Energy System Integration, Beijing, China, 2017.

Artificial Intelligence (Interdiscipline)

1. Y. Zhang, Y. Xiao. Y. Zhang and T.-T. Lim. UV direct photolysis of halogenated disinfection byproducts: Experimental study and QSAR modeling. Chemosphere. 2019.

Image Processing

1. Y. Zhang and Q. Ling. Bicycle Detection Based On Multi-feature and Multi-frame Fusion in Low-Resolution Traffic Videos. arXiv, 2017.

2. Y. Zhang. Research on Algorithms to Recognize Moving Objects in Low-resolution Traffic Videos. Thesis for M. Sc. Degree. 2014.

3. Q. Ling, J. Yan, F. Li and Y. Zhang. A background modeling and foreground segmentation approach based on the feedback of moving objects in traffic surveillance systems. Neurocomputing 133 (2014): 32-45.

4. Q. Ling, J. Yan, Y. Zhang, F. Li and L. Xu. An image processing method for segmentation of moving objects based on the feedback. Publication Number: CN103514609B, China National Invention Patent, 2014.

5. Y. Zhang, J. Yan, Q. Ling, F. Li and J. Zhu. Moving cast shadow detection based on regional growth. 32nd IEEE Chinese Control Conference, 2013.

6. J. Yan, Q. Ling, Y. Zhang, F. Li and F. Zhao. An adaptive bicycle detection algorithm based on Multi-Gaussian models. Journal of Computational Information Systems, vol 9, issue 24 (2013): 10075-10083.

7. J. Yan, Q. Ling, Y. Zhang, F. Li and F. Zhao. A Novel Occlusion-Adaptive Multi-Object Tracking Method for Road Surveillance Applications. 32nd IEEE Chinese Control Conference, 2013.

8. Q. Ling, Y. Zhang, L. Xu, J. Yan and F. Li. Bicycle Detection Algorithm base on Multi-feature and Multi-frame Fusion. Publication Number: CN103310206A, China National Invention Patent, 2013.

9. Q. Ling, J. Yan, Y. Zhang, F. Li and L. Xu. Bicycle Detection Method based on Multiple Gaussian Models. Publication Number: CN103310207A, China National Invention Patent, 2013.

Cache Technology

1. Q. Ling, L. Xu, J. Yan, Y. Zhang and F. Li. A feedback-based adaptive data migration method for hybrid storage VOD caching systems. Multimedia Tools and Applications 75 (2016): 165-180.

2. Q. Ling, L. Xu, J. Yan and Y. Zhang. An adaptive caching algorithm suitable for time-varying user accesses in VOD systems. Multimedia Tools and Applications (2014): 1-21.

3. Q. Ling, L. Xu, Y. Zhang and J. Yan. Estimation of the Concurrent Capacity of a Streaming Media Server Based on User Behavior Analysis. British Journal of Mathematics & Computer Science 3, no. 4 (2013): 811-821.

4. Q. Ling, Y. Zhang, J. Yan, L. Xu, F. Zhao and S. Hao. Construction and Application of Users’ Behavior Model in the Video on Demand System. Journal of Chinese Computer Systems 34, no. 3 (2013): 548-552.