Dr Ziyuan Pu

Academic (Consultant)
School of Engineering

Ziyuan.Pu@monash.edu
+603 5516 6017
Room 5-4-55
ORCID

Dr. Ziyuan Pu joined Monash University as an Academic Consultant in October 2020. Prior to joining Monash University, he was a Research Associate in the Department of Civil & Environmental Engineering (CEE) at University of Washington (UW), Seattle, US. He earned a Ph.D. (2020) and a M.S. (2015) in CEE from UW, and a B.S. (2010) in transportation engineering from Southeast University, China. His active research fields include Intelligent Transportation Systems (ITS), Connected & Autonomous Vehicles (CAV), Internet of Things (IoT), urban computing, and transportation data science. He has published over 30 peer reviewed journal articles in IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal, Transportation Research Part C: Emerging Technologies, Journal of Intelligent Transportation Systems and etc.


Dr. Pu serves as a member of the Transportation Research Board (TRB) Standing Committee on Transit Capacity and Quality of Service (AP015), a member of the TRB Standing Committee on Visualization in Transportation (AED80), a younger member of Connected & Autonomous Vehicle (CAV) Impacts Committee of American Society of Civil Engineers (ASCE) Transportation & Development Institute (T&DI), and a member of ASCE T&DI Committee on Younger Members. He is the recipient of 2020 Excellence in Highway Safety Data Research Award presented by Federal Highway Administration (FHWA) and the third prize of 2019 Pacific Northwest Transportation Consortium (PacTrans) annual conference poster competition.

Academic degrees

  • Doctor of Philosophy in Civil & Environmental Engineering, University of Washington, 2020
  • Master of Science in Civil & Environmental Engineering, University of Washington, 2015
  • Bachelor of Transportation Engineering, Southeast University, 2010

Professional affiliations

Member of International Professional Bodies

  • Transportation Research Board, Standing Committee on Transit Capacity and Quality of Service (AP015), Committee Member, 2019
  • Transportation Research Board, Standing Committee on Visualization in Transportation (AED80), Committee Member, 2019

Member of National Professional Bodies

  • American Society of Civil Engineers (ASCE) Transportation & Development Institute (T&DI), T&DI Committee on Younger Members, Committee Member, 2020
  • American Society of Civil Engineers (ASCE) Transportation & Development Institute (T&DI), Connected & Autonomous Vehicle (CAV) Impacts Committee, Younger Committee Member, 2019

Journal

  1. Pu Z, Zhu M, Li W, Cui Z, Guo X, Wang Y*. “Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.” IEEE Internet of Things Journal. Jul. 2020. (Early Access, IF: 9.936, JCR Q1) [PDF]
  2. Cui Z, Lin L, Pu Z*, Wang Y. “Graph Markov Network for Traffic Forecasting with Missing Data.” Transportation Research Part C: Emerging Technologies 117 (2020): 102671. (IF: 6.077, JCR Q1) [PDF]
  3. Pu Z, Ke R, Li Z, Wang Y*. “Evaluating the Non-Linear Correlation between Vertical Curve Features and Crash Rates on Highways using Random Forests.” Journal of Transportation Engineering, Part A: Systems, 146 10 (2020): 04020115.(IF: 0.989, JCR Q4) [PDF]
  4. Pu Z, Liu C, Shi X, Cui Z, Wang Y*. “Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data.” Journal of Intelligent Transportation Systems (2020) 1-12. (IF: 3.269, JCR Q2) [PDF]
  5. Pu Z, Li Z, Ke R, Wang Y*. “Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System.” IEEE Transactions on Intelligent Transportation Systems. Jan. 2020. (Early Access, IF: 6.319, JCR Q1) [PDF]
  6. Pu Z, Cui Z, Wang S, Wang Y*. “Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data.” IET Intelligent Transport Systems 14.4 (2020): 213-219. (IF: 2.48, JCR Q2) [PDF]
  7. Pu Z, Li Z, Ash J, Zhu W, Wang Y*. “Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change.” Transportation Research Part C: Emerging Technologies 77 (2017): 67-79. (IF: 6.077, JCR Q1) [PDF]
  8. Cui Z, Ke R, Pu Z, Wang Y*. “Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values” Transportation Research Part C: Emerging Technologies. May 2020. (In press, IF: 6.077, JCR Q1)
  9. Zhu M, Wang Y*, Pu Z, Hu J, Ke R. “Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.” Transportation Research Part C: Emerging Technologies 117 (2020): 102662. (IF: 6.077, JCR Q1) [PDF]
  10. Cui Z, Ke R, Pu Z, Ma X, Wang Y*. “Learning Traffic as a Graph: A Gated Graph Wavelet Recurrent Neural Network for Network-scale Traffic Prediction.” Transportation Research Part C: Emerging Technologies 115 (2020): 102620. (IF: 6.077, JCR Q1) [PDF]
  11. Ke R, Zhuang Y, Pu Z, Wang Y*. “A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices” IEEE Transactions on Intelligent Transportation System. Mar. 2020. (Early Access, IF: 6.319, JCR Q1) [PDF]
  12. Cui Z, Henrickson K, Biancardo S, Pu Z, Wang Y*. “Establishing Multisource Data-Integration Framework for Transportatin Data Analytics.” Journal of Transportation Engineering, Part A: Systems 146.5 (2020): 04020024.(IF: 0.989, JCR Q4) [PDF]
  13. Li Z, Xu C, Pu Z, Guo Y, Liu P*. “Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks near Traffic Oscillations on Freeways.” IEEE Intelligent Transportation Systems Magazine. Jan. 2020. (Early Access, IF: 3.363, JCR Q2) [PDF]
  14. Li W, Pu Z, Ban X*, Li Y. “Characterization of Ride-splitting Based on Observed Data: A Case Study of Chengdu, China.” Transportation Research Part C: Emerging Technologies 100 (2019): 330-353. (IF: 6.077, JCR Q1) [PDF]
  15. Li Q*, Wang Y, Pu Z, Wang S, Zhang W. “Time Series Association State Analysis Method for Attacks on the Smart Internet of Electric Vehicle Charging Network.” Transportation Research Record 2673.4 (2019): 217-228. (IF: 1.029, JCR Q4) [PDF]

Selected Conference Proceedings

  1. Pu Z*, Zhang Q, Zhuang Y, Lv Y, Wang Y*. “A Device-Free Pedestrian Monitoring Method Based on Wi-Fi Channel State Information.” ASCE International Conference on Transportation & Development. 2020.
  2. Pu Z*, Ke R, Wang Y. “A Novel Multi-Source Transportation Internet of Things Device: Mobile Unit for Sensing Traffic (MUST) Sensor.” ASCE International Conference on Transportation & Development. 2020.
  3. Pu Z, Li Z, Zhu W, Cui Z, Wang Y*. “Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis.” Transportation Research Board 96th Annual Meeting. No. 17-05863. 2017.
  4. Pu Z, Li Z, Ash J, Zhu W, Wang Y*. “Spatial Modeling of Sensitivity of On-Street Parking Occupancy to Price Change.” Transportation Research Board 95th Annual Meeting. No. 16-4824. 2016.
  5. Liu T, Pu Z*, Zhang Q, Wang Y. “A Novel Way of Pedestrian Speed Detection Using Wi-Fi Channel State Information.” ASCE International Conference on Transportation & Development. 2020.
  6. Zhu M, Pu Z, Yang H, Liu C, Wang Y*. “Developing A Visual Car-Following Model.” ASCE International Conference on Transportation & Development. 2020.
  7. Li M, Li Z*, Pu Z, Liu T, Liu P. “Short-Term Prediction of Operational and Safety impacts of Lane Changes in Oscillations with Empirical Vehicle Trajectories” Transportation Research Board 98th Annual Meeting. No. 19-04005. 2019.
  8. Li Z, Pu Z, Liu T*, Xu C. “Enhancing Real-Time Crash Risk Prediction Performance Considering Spatial and Temporal Correlations in Support Vector Machine” Transportation Research Board 98th Annual Meeting. No. 19-03963. 2019.
  9. Liu C, Deng F, Jiang Y, Pu Z, Wang Y*. “View Independent Vehicle Model Recognition Using Semantic Segmentation and Image Retrieval.” Transportation Research Board 98th Annual Meeting. No. 19-03448. 2019.
  10. Jiang Y, Pu Z, Wang Y, Liu C, Zhang J*. “Capturing Young People’s Ownership Behavior of Autonomous Vehicles Based on a Comparative Analysis in Japan” Transportation Research Board 98th Annual Meeting. No. 19-05888. 2019.
  11. Zeng Z, Ash J, Pu Z, Zhuang Y, Wang Y*. “A Framework of a V2X Communication System for Enhancing Vehicle and Pedestrian Safety at Un-signalized Intersections.” Transportation Research Board 97th Annual Meeting. No. 18-03707. 2018.
  12. Li Z, Pu Z, Wang Y*, Zhu W, Chen Z, Wu H. “Evaluating the Correlation between Vertical Curve Features and Crash Rates on Highways.” Transportation Research Board 96th Annual Meeting. No. 17-06725. 2017.
  13. Ke R, Pan Z, Pu Z, Wang Y*. “Roadway surveillance video camera calibration using standard shipping container.” Smart Cities Conference (ISC2). 2017 International. IEEE. 2017.
  14. Zhu W, Zeng Z, Wang Y*, Pu Z. “Predicting Incident Duration based on Spatiotemporal Heterogeneous Pattern Recognition.” Transportation Research Board 96th Annual Meeting. No. 17-06787. 2017.
  15. Zhu W, Wright B, Li Z, Wang Y*, Pu Z. “Analyzing the Impact of Grade on Fuel Consumption for the National Interstate Highway System.” Transportation Research Board 95th Annual Meeting. No. 16-6999. 2016.

Research Interests

  • Intelligent Transportation Systems (ITS);
  • Connected & Autonomous Vehicles (CAV);
  • Internet of Things (IoT); Urban Computing;
  • Transportation Data Science

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International Award/Recognition/Exhibition/Stewardship

  • Excellence in Highway Safety Data Research Award - United States Department of Transportation (USDOT), Federal Highway Administration (FHWA)