traffic_proj

Publications on Smart Cities and Urban Traffic Management Research

Publications

Editorial

  1. R. Su. Technical Committee Activities for Smart Cities. IEEE Control Systems Magazine. Jun 2017.

Journal Papers

  1. K. Gao, Y. Zhang, Y. Zhang, R. Su and P. N. Sugahthan. Meta-heuristics for Bi-objective Urban Traffic Light Scheduling Problems.. IEEE Transactions on Intelligent Transportation Systems. Major Revision. Aug 2017.

  2. Y. Zhang, K. Gao, Y. Zhang and R. Su. Traffic light scheduling for pedestrian-vehicle mixed-flow networks. Transportation Research Part C. Under review. Jun 2017.

  3. A. Sadollah, K. Gao, Y. Zhang, Y. Zhang and R. Su. Classification-based approach for adaptive traffic signals focusing on traffic congestion. Knowledge-Based Systems Under review. Jun 2017.

  4. 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. In press, Available online 17 May 2017.

  5. A. Lentzakis, S. Ware, R. Su and C. Wen. Regional-based prescriptive route guidance for travelers of multiple classes. Transportation Research Part C. Major revision. Feb 2017.

  6. 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.

Conference Papers

  1. Y. Zhang and R. Su. A macroscopic propagation model for bidirectional pedestrian flows on signalized crosswalks. 2017 IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

  2. 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. 2017 IEEE Conference on Control Technology and Applications, Kohala Coast, 2017.

  3. Y. Zhang, R. Su, K. Gao and Y. Zhang. Traffic Light Scheduling for Pedestrians and Vehicles. 2017 IEEE Conference on Control Technology and Applications, Kohala Coast, 2017.

  4. 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.

  5. K. Gao, Y. Zhang, A. Sadollah and R. Su. Java Algorithm for Solving Urban Traffic Signal Control Problem. ICARCV2016, 2016.

  6. K. Gao, A. Sadollah, Y. Zhang and R. Su. Discrete Jaya Algorithm for Flexible Job Shop Scheduling Problem with New Job Insertion. ICARCV2016, 2016.

  7. A. Lentzakis, S. I. Ware, and R. Su. Region-based dynamic forecast routing for autonomous vehicles. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference, pp. 1464-1469, 2016.

  8. A. Lentzakis, R. Su and C. Wen. Strategic learning approach to region-based dynamic route guidance. 12th IEEE International Conference on Control & Automation, Kathmandu, 2016.

  9. 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.

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

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

  12. A. Lentzakis, R. Su and C. Wen. Time-dependent partitioning of urban traffic network into homogeneous regions. In Proc. 13th International Conference on Control, Automation, Robotics and Vision, pp. 535-540, 2014.

e-print

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

  2. 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.