## Academic Profile : Faculty

Asst Prof Zhu Feng

Assistant Professor, School of Civil and Environmental Engineering

Email

Journal Articles

(Not applicable to NIE

staff as info will be

pulled from PRDS)

(Not applicable to NIE

staff as info will be

pulled from PRDS)

46. Zhuo, J., & Zhu, F. (2024). Time to Equilibrium (TTE) in a Car-Following Scenario under Local Stable Condition, accepted (minor revision) for publication in Transportation Research Record.

45. Xu, S., Chen, H., Law, A., Zhu, F., Daniel, M., & Lim, M. (2024). Development of a standardised framework with universal core indicators for flood resilience assessment, accepted for publication in Natural Hazards.

44. Zhang, M., Guo, H., Li, J., Li., & Zhu, F. (2024). A RF-LSTM Approach for Enhanced Real-Time Prediction of Winter Road Surface Temperature in High-Altitude Mountain Areas, accepted for publication in Promet – Traffic & Transportation.

43. Shang Y., Zhu, F., Jiang, R., Li, X., & Wang, S. (2024). Trajectory planning at a signalized road section in a mixed traffic environment considering lane-changing of CAVs and stochasticity of HDVs, accepted for publication in Transportation Research Part C: Emerging Technologies.

42. Wang, S., Wang, Z., Jiang, R., Zhu, F., Yan, R., & Shang, Y. (2024). A multi-agent reinforcement learning-based longitudinal and lateral control of CAVs to improve traffic efficiency in a mandatory lane change scenario, accepted for publication in Transportation Research Part C: Emerging Technologies.

41. Dong, T., Zhou, J., Zhuo, J., Li, B., & Zhu, F. (2024). The application of stability analysis on the evolution of traffic collision risk, accepted for publication in Applied Sciences.

40. Bai, S., Dai, B., Yang, Z., Yang, W., Fang, Y., & Zhu, F. (2024). A transfer learning and long short-term memory neural network (TL-LSTM) model for winter pavement temperature prediction, accepted for publication in the Journal of Traffic and Transportation Engineering (English Edition).

39. Zhou, J., Dong, T., & Zhu, F. (2023). The Applicability of Transfer Function to Disturbance Growth Estimation and Traffic Stability, accepted for publication in Transportation Research Record.

38. Li, D., Zhu, F., Wu, J., Chen, T., & Wong, Y.D. (2023). An adaptive signal control and CAV coordination system based on deep reinforcement learning, accepted for publication in Expert Systems With Applications.

37. Yang, W., Zhao, Y., Li, Q., Zhu, F., & Su, Y. (2023). Multi Visual Feature Fusion Based Fog Visibility Estimation for Expressway Surveillance Using Deep Learning Network, accepted for publication in Expert Systems With Applications.

36. Zhuo, J., & Zhu, F. (2023). Evaluation of platooning configurations for connected and automated vehicles at an isolated roundabout in a mixed traffic environment, accepted for publication in Journal of Intelligent and Connected Vehicles.

35. Wu, Y., Wang, D.Z., & Zhu, F. (2023). Traffic Efficiency and Fairness Optimization for Autonomous Intersection Management based on Reinforcement Learning, accepted for publication, Transportmetrica A: Transport Science.

34. Dai, B., Yang, W., Ji, X., Zhu, F., Fang, R., & Zhou, L. (2023). An Ensemble Deep Learning Model for Short-Term Road Surface Temperature Prediction. Journal of Transportation Engineering, Part B: Pavements, 149(1), 04022067.

33. Gao, Y., Qu, Z., Song, X., Yun, Z., & Zhu, F. (2023). Coordinated perimeter control of urban road network based on traffic carrying capacity model. Simulation Modelling Practice and Theory, 123, 102680.

32. Yan, J., Zeng, S., Tian, B., Cao, Y., Yang, W., & Zhu, F. (2023). Relationship between Highway Geometric Characteristics and Accident Risk: A Multilayer Perceptron Model (MLP) Approach. Sustainability, 15(3), 1893.

31. Li, D., Zhu, F., Chen, T., Wong, Y. D., Zhu, C., & Wu, J. (2023). COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 146, 103933.

30. Li, D., Wu, J., Zhu, F., Chen, T., & Wong, Y. D. (2022). Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning. Computer‐Aided Civil and Infrastructure Engineering.

29. Chen, W., & Zhu, F. (2022). Discussions on pedestrian delay models and applications at signalized crosswalks. Multimodal Transportation, 1(4), 100039.

28. Chen, W., Zhu, F., Shi, X., & Ye, Z. (2022). Modeling the Pedestrian Delay at Signalized Intersections with Two-Stage Crossing: Considering Physical Queuing Length. Journal of Transportation Engineering, Part A: Systems, 148(11), 04022099.

27. Dong, T., Zhou, J., & Zhu, F. (2022). Investigating the effect of emerging vehicle technologies on longitudinal traffic safety. Journal of transportation engineering, Part A: Systems, 148(10), 04022087.

26. Wang, S., Ma, Y., Liu, J., Yu, B., & Zhu, F. (2022). Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: A virtual simulation analysis. Accident Analysis & Prevention, 174, 106762.

25. Zhou, J., Wan, J., & Zhu, F. (2022). Transfer Learning Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control. IEEE Transactions on Intelligent Transportation Systems, 23(11), 21345-21359.

24. Wu, Y., Wang, D.Z. & Zhu, F. (2022). Influence of CAVs platooning on intersection capacity under mixed traffic. Physica A: Statistical Mechanics and its Applications, p.126989.

23. Wu, Y. & Zhu, F. (2021). Junction Management for Connected and Automated Vehicles: Intersection or Roundabout?. Sustainability, 13(16), p.9482.

22. Zhou, J., & Zhu, F. (2021). Analytical analysis of the effect of maximum platoon size of connected and automated vehicles. Transportation Research Part C: Emerging Technologies, 122, 102882.

21. Wan, J., & Zhu, F. (2020). Cost-sensitive canonical correlation analysis for semi-supervised multi-view learning. IEEE Signal Processing Letters, 27, 1330-1334.

20. Zhou, J., & Zhu F. (2020). Modeling the fundamental diagram of mixed human-driven and connected automated vehicles. Transportation Research Part C: Emerging Technologies, 115, 102614.

19. Zhu, S., & Zhu F. (2020). Multi-objective bike-way network design problem with space-time accessibility constraint. Transportation, 47(5), pp. 2479-2503.

18. Xu, X., Li, Y.C., Wong S.C., & Zhu F. (2020). A Two-Step Quantile Selection Model for the Safety Analysis at Signalized Intersections. Journal of Transportation Safety & Security, 12(4), pp. 547-565.

17. Zhu, S., & Zhu F. (2019). Cycling comfort evaluation with instrumented probe bicycle. Transportation Research Part A: Policy and Practice, 129, 217-231.

16. Zhu, Y., & Zhu F. (2019). Barrier-Function-based Distributed Adaptive Control of Nonlinear CAVs with Parametric Uncertainty and Full-state Constraint. Transportation Research Part C: Emerging Technologies, 104, pp. 249-264.

15. Wu, Y., Chen, H., & Zhu F. (2019). DCL-AIM: Decentralized Coordination Learning of Autonomous Intersection Management for Connected and Automated Vehicles. Transportation Research Part C: Emerging Technologies, 103, pp. 246-260.

14. Zhu, Y., & Zhu F. (2018). Distributed Adaptive Longitudinal Control for Uncertain Third-order Vehicle Platoon in a Networked Environment. IEEE Transactions on Vehicular Technology, 67(10), pp.9183-9197.

13. Xu, X., Saric Z., Zhu F., & Babic D. (2018). Accident Severity Levels and Traffic Signs Interactions in State Roads: A Seemingly Unrelated Regression Model in Unbalanced Panel Data Approach. Accident Analysis & Prevention, 120, pp.122-129.

12. Zhu, F., & Ukkusuri S.V. (2018). Modeling the proactive driving behavior of connected vehicles: a cell-based simulation approach. Computer-Aided Civil and Infrastructure Engineering, 33(4), pp. 262-281.

11. Aziza, H.M., Zhu F., & Ukkusuri S.V. (2018). Learning Approaches Based Traffic Signal Control Algorithms with Neighborhood Information Sharing: An Application for Sustainable Mobility. Journal of Intelligent Transportation Systems, 22(1), pp.40-52.

10. Xu, X., Wong S.C., Zhu F., Pei X., Huang H., & Liu Y. (2017). A Heckman selection model for the safety analysis of signalized intersections. PLoS ONE, 12(7), e0181544.

9. Zhu, F., & Ukkusuri S.V. (2017). Efficient and fair system states in dynamic transportation networks. Transportation Research Part B: Methodological, 104, pp. 272-289.

8. Zhu, F., & Ukkusuri S.V. (2016). An optimal estimation approach for the calibration of the car-following behavior of connected vehicles in a mixed traffic environment. IEEE Transactions on Intelligent Transportation Systems, 18(2), pp.282-291.

7. Zhu, F., & Ukkusuri S.V. (2015). A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, pp. 363-378.

6. Zhu, F., Aziza, H.M., Qian X., & Ukkusuri S.V. (2015). A junction-tree based learning algorithm to optimize network wide traffic control: a coordinated multi-agent framework. Transportation Research Part C: Emerging Technologies, 58, pp. 487-501.

5. Zhu, F., & Ukkusuri S.V. (2015). A reinforcement learning approach for distance-based dynamic tolling in the stochastic network environment. Journal of Advanced Transportation, 49(2), pp. 247-266.

4. Zhan, X., Ukkusuri S.V., & Zhu, F. (2014). Inferring urban land use using large-scale social media check-in data. Networks and Spatial Economics, 14, pp. 647-667.

3. Zhu, F., & Ukkusuri S.V. (2014). Accounting for dynamic speed limit control problems in the stochastic traffic environment: a reinforcement learning approach. Transportation Research Part C: Emerging Technologies, 41, pp. 30-47.

2. Zhu, F., & Ukkusuri S.V. (2013). A cell based dynamic system optimum model with non-holding back flows. Transportation Research Part C: Emerging Technologies, 36, pp. 367-380.

1. Zhu, F., Lo, H.K. & Lin, H.-Z. (2013). Delay and emissions modelling for signalised intersections. Transportmetrica B: Transport Dynamics, 1(2), pp. 111-135.

45. Xu, S., Chen, H., Law, A., Zhu, F., Daniel, M., & Lim, M. (2024). Development of a standardised framework with universal core indicators for flood resilience assessment, accepted for publication in Natural Hazards.

44. Zhang, M., Guo, H., Li, J., Li., & Zhu, F. (2024). A RF-LSTM Approach for Enhanced Real-Time Prediction of Winter Road Surface Temperature in High-Altitude Mountain Areas, accepted for publication in Promet – Traffic & Transportation.

43. Shang Y., Zhu, F., Jiang, R., Li, X., & Wang, S. (2024). Trajectory planning at a signalized road section in a mixed traffic environment considering lane-changing of CAVs and stochasticity of HDVs, accepted for publication in Transportation Research Part C: Emerging Technologies.

42. Wang, S., Wang, Z., Jiang, R., Zhu, F., Yan, R., & Shang, Y. (2024). A multi-agent reinforcement learning-based longitudinal and lateral control of CAVs to improve traffic efficiency in a mandatory lane change scenario, accepted for publication in Transportation Research Part C: Emerging Technologies.

41. Dong, T., Zhou, J., Zhuo, J., Li, B., & Zhu, F. (2024). The application of stability analysis on the evolution of traffic collision risk, accepted for publication in Applied Sciences.

40. Bai, S., Dai, B., Yang, Z., Yang, W., Fang, Y., & Zhu, F. (2024). A transfer learning and long short-term memory neural network (TL-LSTM) model for winter pavement temperature prediction, accepted for publication in the Journal of Traffic and Transportation Engineering (English Edition).

39. Zhou, J., Dong, T., & Zhu, F. (2023). The Applicability of Transfer Function to Disturbance Growth Estimation and Traffic Stability, accepted for publication in Transportation Research Record.

38. Li, D., Zhu, F., Wu, J., Chen, T., & Wong, Y.D. (2023). An adaptive signal control and CAV coordination system based on deep reinforcement learning, accepted for publication in Expert Systems With Applications.

37. Yang, W., Zhao, Y., Li, Q., Zhu, F., & Su, Y. (2023). Multi Visual Feature Fusion Based Fog Visibility Estimation for Expressway Surveillance Using Deep Learning Network, accepted for publication in Expert Systems With Applications.

36. Zhuo, J., & Zhu, F. (2023). Evaluation of platooning configurations for connected and automated vehicles at an isolated roundabout in a mixed traffic environment, accepted for publication in Journal of Intelligent and Connected Vehicles.

35. Wu, Y., Wang, D.Z., & Zhu, F. (2023). Traffic Efficiency and Fairness Optimization for Autonomous Intersection Management based on Reinforcement Learning, accepted for publication, Transportmetrica A: Transport Science.

34. Dai, B., Yang, W., Ji, X., Zhu, F., Fang, R., & Zhou, L. (2023). An Ensemble Deep Learning Model for Short-Term Road Surface Temperature Prediction. Journal of Transportation Engineering, Part B: Pavements, 149(1), 04022067.

33. Gao, Y., Qu, Z., Song, X., Yun, Z., & Zhu, F. (2023). Coordinated perimeter control of urban road network based on traffic carrying capacity model. Simulation Modelling Practice and Theory, 123, 102680.

32. Yan, J., Zeng, S., Tian, B., Cao, Y., Yang, W., & Zhu, F. (2023). Relationship between Highway Geometric Characteristics and Accident Risk: A Multilayer Perceptron Model (MLP) Approach. Sustainability, 15(3), 1893.

31. Li, D., Zhu, F., Chen, T., Wong, Y. D., Zhu, C., & Wu, J. (2023). COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 146, 103933.

30. Li, D., Wu, J., Zhu, F., Chen, T., & Wong, Y. D. (2022). Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning. Computer‐Aided Civil and Infrastructure Engineering.

29. Chen, W., & Zhu, F. (2022). Discussions on pedestrian delay models and applications at signalized crosswalks. Multimodal Transportation, 1(4), 100039.

28. Chen, W., Zhu, F., Shi, X., & Ye, Z. (2022). Modeling the Pedestrian Delay at Signalized Intersections with Two-Stage Crossing: Considering Physical Queuing Length. Journal of Transportation Engineering, Part A: Systems, 148(11), 04022099.

27. Dong, T., Zhou, J., & Zhu, F. (2022). Investigating the effect of emerging vehicle technologies on longitudinal traffic safety. Journal of transportation engineering, Part A: Systems, 148(10), 04022087.

26. Wang, S., Ma, Y., Liu, J., Yu, B., & Zhu, F. (2022). Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: A virtual simulation analysis. Accident Analysis & Prevention, 174, 106762.

25. Zhou, J., Wan, J., & Zhu, F. (2022). Transfer Learning Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control. IEEE Transactions on Intelligent Transportation Systems, 23(11), 21345-21359.

24. Wu, Y., Wang, D.Z. & Zhu, F. (2022). Influence of CAVs platooning on intersection capacity under mixed traffic. Physica A: Statistical Mechanics and its Applications, p.126989.

23. Wu, Y. & Zhu, F. (2021). Junction Management for Connected and Automated Vehicles: Intersection or Roundabout?. Sustainability, 13(16), p.9482.

22. Zhou, J., & Zhu, F. (2021). Analytical analysis of the effect of maximum platoon size of connected and automated vehicles. Transportation Research Part C: Emerging Technologies, 122, 102882.

21. Wan, J., & Zhu, F. (2020). Cost-sensitive canonical correlation analysis for semi-supervised multi-view learning. IEEE Signal Processing Letters, 27, 1330-1334.

20. Zhou, J., & Zhu F. (2020). Modeling the fundamental diagram of mixed human-driven and connected automated vehicles. Transportation Research Part C: Emerging Technologies, 115, 102614.

19. Zhu, S., & Zhu F. (2020). Multi-objective bike-way network design problem with space-time accessibility constraint. Transportation, 47(5), pp. 2479-2503.

18. Xu, X., Li, Y.C., Wong S.C., & Zhu F. (2020). A Two-Step Quantile Selection Model for the Safety Analysis at Signalized Intersections. Journal of Transportation Safety & Security, 12(4), pp. 547-565.

17. Zhu, S., & Zhu F. (2019). Cycling comfort evaluation with instrumented probe bicycle. Transportation Research Part A: Policy and Practice, 129, 217-231.

16. Zhu, Y., & Zhu F. (2019). Barrier-Function-based Distributed Adaptive Control of Nonlinear CAVs with Parametric Uncertainty and Full-state Constraint. Transportation Research Part C: Emerging Technologies, 104, pp. 249-264.

15. Wu, Y., Chen, H., & Zhu F. (2019). DCL-AIM: Decentralized Coordination Learning of Autonomous Intersection Management for Connected and Automated Vehicles. Transportation Research Part C: Emerging Technologies, 103, pp. 246-260.

14. Zhu, Y., & Zhu F. (2018). Distributed Adaptive Longitudinal Control for Uncertain Third-order Vehicle Platoon in a Networked Environment. IEEE Transactions on Vehicular Technology, 67(10), pp.9183-9197.

13. Xu, X., Saric Z., Zhu F., & Babic D. (2018). Accident Severity Levels and Traffic Signs Interactions in State Roads: A Seemingly Unrelated Regression Model in Unbalanced Panel Data Approach. Accident Analysis & Prevention, 120, pp.122-129.

12. Zhu, F., & Ukkusuri S.V. (2018). Modeling the proactive driving behavior of connected vehicles: a cell-based simulation approach. Computer-Aided Civil and Infrastructure Engineering, 33(4), pp. 262-281.

11. Aziza, H.M., Zhu F., & Ukkusuri S.V. (2018). Learning Approaches Based Traffic Signal Control Algorithms with Neighborhood Information Sharing: An Application for Sustainable Mobility. Journal of Intelligent Transportation Systems, 22(1), pp.40-52.

10. Xu, X., Wong S.C., Zhu F., Pei X., Huang H., & Liu Y. (2017). A Heckman selection model for the safety analysis of signalized intersections. PLoS ONE, 12(7), e0181544.

9. Zhu, F., & Ukkusuri S.V. (2017). Efficient and fair system states in dynamic transportation networks. Transportation Research Part B: Methodological, 104, pp. 272-289.

8. Zhu, F., & Ukkusuri S.V. (2016). An optimal estimation approach for the calibration of the car-following behavior of connected vehicles in a mixed traffic environment. IEEE Transactions on Intelligent Transportation Systems, 18(2), pp.282-291.

7. Zhu, F., & Ukkusuri S.V. (2015). A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, pp. 363-378.

6. Zhu, F., Aziza, H.M., Qian X., & Ukkusuri S.V. (2015). A junction-tree based learning algorithm to optimize network wide traffic control: a coordinated multi-agent framework. Transportation Research Part C: Emerging Technologies, 58, pp. 487-501.

5. Zhu, F., & Ukkusuri S.V. (2015). A reinforcement learning approach for distance-based dynamic tolling in the stochastic network environment. Journal of Advanced Transportation, 49(2), pp. 247-266.

4. Zhan, X., Ukkusuri S.V., & Zhu, F. (2014). Inferring urban land use using large-scale social media check-in data. Networks and Spatial Economics, 14, pp. 647-667.

3. Zhu, F., & Ukkusuri S.V. (2014). Accounting for dynamic speed limit control problems in the stochastic traffic environment: a reinforcement learning approach. Transportation Research Part C: Emerging Technologies, 41, pp. 30-47.

2. Zhu, F., & Ukkusuri S.V. (2013). A cell based dynamic system optimum model with non-holding back flows. Transportation Research Part C: Emerging Technologies, 36, pp. 367-380.

1. Zhu, F., Lo, H.K. & Lin, H.-Z. (2013). Delay and emissions modelling for signalised intersections. Transportmetrica B: Transport Dynamics, 1(2), pp. 111-135.

Keynote Speeches & Editorship of Special Issues

(Not applicable to NIE

staff as info will be

pulled from PRDS)

(Not applicable to NIE

staff as info will be

pulled from PRDS)

Associate Editor, ACM Journal on Autonomous Transportation Systems

Associate Editor, Transportmetrica B: Transport Dynamics

Editorial Board Member, Multimodal Transportation

Associate Editor, Transportmetrica B: Transport Dynamics

Editorial Board Member, Multimodal Transportation