Ziyuan Pu

Ziyuan Pu

Ph.D. Candidate, University of Washington

Department of Civil & Environmental Engineering

  • [Google Scholar] [Research Statement] [Curriculum Vitae]

  • Smart Intrasturctures, Transportation Data Science, CAV, Urban Computing, Artificial Intelligence

  • Contact Me

    About Me

    I am a Ph.D. Candidate in the Department of Civil & Environmental Enginggering (CEE) at the University of Washington (UW). I have been working as a Pre-doctoral research assitant in the Smart Transportation Applications & Research Lab (STAR Lab) advised by Prof. Yinhai Wang since 2014. Eariler, I received my Master degree in CEE from UW, and earned my Bachelor degree in Transportation Engineering from Southeast University (SEU).

    My research mainly lie on smart infrastructure, transportation data science, connected & autonomous vehicles, and urban computing. The detailed infromation about my research can be found in my CV and Research Statement.

    Besides the research and study, I am also a basketball athlete. Before joining the UW, I was a basketball team member of my university and highschool, and we participated lots of contests and won medals, such as the Second Place of 2010 Nanjing University Basketball Contest, the Championship of 2005 Jiangsu Middle School Student Men's Basketball Contest, and I earned the title of Natioanl Level of Atheletes in basketball of China in 2006, which is granted by Chinese General Administrationa of Sport of China.

    Featured Research Projects

    project name

    Mobile Unit for Sensing Traffic (MUST) Sensor

    MUST sensor is a multi-source transportation Internet of Things(IoT) device. It can be used as a roadside unit for traffic sensing and the middleware of connected vehicle networks.

    Find out more (Funded by PacTrans)

    project name

    Digital Roadway Interactive Visualization and Evaluation Network (DRIVENet)

    DRIVE Net is an on-line transportation platform aimed at data sharing, integration, visualization, and analysis. The system provides users with the capability to store, access, and manipulate data from anywhere as long as they have Internet connections.

    Find out more (Funded by WSDOT)

    project name

    Real-Time Public Transit Ridership Flow Monitoring based on Wi-Fi and Bluetooth Sensing Technology

    We developed an inexpensive system that uses Wi-Fi and Bluetooth signals from passengers’ mobile devices to collect better data about real-time transit ridership flow and O-D information.

    Find out more (Funded by PacTrans)

    project name

    Pedestrian Sensing Based on Wi-Fi Channel State Informatioon (CSI)

    The main objective of this research is to demonstrate the feasibility and reliability of Wi-Fi CSI-based sensing method for pedestrian sensing, e.g. moving direction and speed, pedestrain counting, dwelling acitivity and travel time. The finds can improve the performance of pedestrian related ITS systems, such as smart pedestrian crossing signal, advanced driver-assistance systems

    Find out more (Funded by CSET)

    project name

    Traffic Sensing for E8 Corridor Performance Monitoring and Travel Reliability Enhancement

    The goal of the project is to enhance the safety and reliability of the E8 corridor in Norway. The research products of this project may offer a new cost-effective monitoring and operational solution on rural freight corridors, particularly in harsh climates.

    Find out more (Funded by NPRA)

    project name

    Connected Vehicle Applications for Improved Winter Mobility

    The objectives of this project are to investigate how connected vehicle data (CV) such as images and friction coefficients could be integrated with data from road weather information system(RWIS) stations and other infrastructure to improve decision making for highway operations and enhance traveler information during inclement winter weather events.

    Find out more (Funded by PacTrans)

    Selected Publications

    Peer-Reviewed Journal Articles

    1. Pu Z, Cui Z, Wang S, Wang Y*. Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. Accepted. IET Intelligent Transport Systems. 2019. [arXiv:1911.00605]

    2. Pu Z, Cui Z, Zhu M, Wang Y*. Mining Public Transit Ridership Flow and O-D Information from Wi-Fi and Bluetooth Sensing Data. Under Review. 2019. [arXiv:1911.01282]

    3. Pu Z, Li Z, Jiang Y, Wang Y*. Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System. Accepted. IEEE Transactions on ITS. 2019.

    4. Cui Z, Henrickson K, Re K, Pu Z, Wang Y*. Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. In Press. IEEE Transactions on ITS. 2019. [arXiv:1802.07007]

    5. Zhu M, Wang Y*, Pu Z, Hu J, Wang X, Ke R. Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. Under Review. 2019. [arXiv:1902.00089]

    6. Pu Z, Wang S, Liu C, Cui Z, Wang Y*. Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data. Accepted. Journal of ITS. 2019. [arXiv:1911.02372]

    7. Pu Z, Zhang Q, Lv Y, Wang Y*. A Device-Free Pedestrian Monitoring Method Based on Wi-Fi Channel State Information. Under Review. 2019.

    8. Li Q*, Wang Y, Pu Z, Qi Y, Xu Y. Time Series Association State Analysis Method for Attacks on the Smart Internet of Electric Vehicle Charging Network. Transportation Research Record. 2019. [article]

    9. 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. 2019. [article]

    10. Ke R, Zeng Z, Pu Z, Wang Y*. A New Framework for Automatic Identification and Quantification of Freeway Bottlenecks Based on Wavelet Analysis. Journrnal of Transportation Engineering Part A: Systems. 2018. [article]

    11. Xu C, Li Z, Pu Z*, Guo Y, Liu P. Procedure for Determining the Deployment Locations of Variable Speed Limit Signs to Reduce Crash Risks at Freeway Recurrent Bottlenecks. IEEE Access. 2018. [article]

    12. Zhang J, Pu Z*, Li Z, Xu C. Comparing Prediction Performance for Crash Injury Severity among Various Machine Learning and Statistical Methods. IEEE Access. 2018. [article]

    13. Zhou Z*, Zhou Y, Pu Z, Xu Y. Simulation of Pedestrian Behavior During the Flashing Green Signal using a Modified Social Force. Transportmetrica A: Transport Science. 2018. [article]

    14. Pu Z, Li Z*, Wang Y, Ye M, Fan W. Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes. Journal of Advanced Transportation. 2017. [article]

    15. 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. 2017. [article]

    Conference Papers

    1. Pu Z, Guo X, Cui Z, Zhu M, Wang Y*. Mining Public Transit Ridership Flow and O-D Information from Wi-Fi and Bluetooth Sensing Data. Transportation Research Board 99th Annual Meeting. 2020.

    2. Ke R, Zhuang Y, Pu Z, Wang Y*. A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices. Transportation Research Board 99th Annual Meeting. 2020.

    3. Cui Z, Lin L, Pu Z, Wang Y*. Graph Markov Network for Traffic Forecasting with Missing Data. Transportation Research Board 99th Annual Meeting. 2020.

    4. Pu Z, Guo X, Li Z, Jiang Y, Wang Y*. Before-after Analysis of Safety Effects of Variable Speed Limit System Using Full Bayesian Models. Transportation Research Board 98th Annual Meeting. 2019. [article]

    5. Cui Z, Henrickson K, Pu Z, Guo G, Wang Y*. A New Multi-Source Traffic Data Integration Framework for Traffic Analysis and Performance Measurement. Transportation Research Board 98th Annual Meeting. 2019. [article]

    6. Pu Z, Han B, Wang Y*. Using Random Forests to Explore the Non-Linear Correlation between Highway Vertical Curve Features and Crash Frequency. ASCE International Conference on Transportation & Development. 2019.

    7. Pu Z, Liu C, Shi X, Wang Y*, Zhang C. Road Surface Condition Prediction Using Long Short-term Memory Neural Network Based on Historical Data. Transportation Research Board 98th Annual Meeting. 2019. [article]

    8. 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. 2019. [article]

    9. Liu T, Li Z*, Pu Z, Xu C, Li M. Enhancing Real-Time Crash Risk Prediction Performance Considering Spatial and Temporal Correlations in Support Vector Machine. Transportation Research Board 98th Annual Meeting. 2019. [article]

    10. Liu C, Deng F, Jiang Y, Pu Z, Du Y, Wang Y*, Zhang C. View Independent Vehicle Model Recognition Using Semantic Segmentation and Image Retrieval. Transportation Research Board 98th Annual Meeting. 2019. [article]

    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. 2018. [article]

    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. 2017. [article]

    13. Ke R, Pan Z, Pu Z, Wang Y*, Zhang C. Roadway surveillance video camera calibration using standard shipping container. Smart Cities Conference (ISC2). 2017. [article]

    14. Pu Z, Li Z, Zhu W, Cui Z, Wang Y*, Zhang C. Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis. Transportation Research Board 96th Annual Meeting. 2017. [article]

    15. Pu Z, Li Z, Ash J, Zhu W, Wang Y*, Zhang C. Spatial Modeling of Sensitivity of On-Street Parking Occupancy to Price Change. Transportation Research Board 95th Annual Meeting. 2016. [article]

    Full Publication List on My CV

    Employment History

    University of Washington, Seattle, US

    Pre-Doctoral Research Assistant, STAR Lab (Jun. 2017 - Present)

    University of Washington, Seattle, US

    Research Assistant, PacTrans (Sep. 2014 - Jun. 2017)

    HuaTai Securities Co., Ltd, Nanjing, China

    Investment Banking Intern (Jul. 2015 - Sep. 2015)

    Jiangsu Expressway Co., Ltd, Nanjing, China

    Operations Management Intern (Jun. 2015 - Jul. 2015)

    China Design Group Co., Ltd, Nanjing, China

    Transportation Engineering Consultant (Jul. 2010 - Jul. 2012)

    Teaching Experience

    Instructor

    PacTrans Workforce Development Training Program with 30 DOT officers (Fall 2019)

    CEE 327: Transportation Engineering (Instruct supplement materials) (Expected Winter 2020)

    Teaching Assistant

    CEE 412/CET 522: Transportation Data Management and Analysis (Winter 2017)

    CEE 327: Transportation Engineering (Expected Winter 2020)

    Guest Lecturer

    UW Engineering Discovery Days (Spring 2017, 2018, 2019)

    CEE 590: Traffic System Control &Simulation (Fall 2014)