Cvs, Avs, and Evs • Data-Driven Spatiotemporal Traffic Forecasting

EMAIL: [email protected] PHONE: +1 (225) 278-0358 HOMEPAGE: Wan Li OFFICE: 2360 Cherahala Blvd, Knoxville, TN, 37932, USA

RESEARCH INTERESTS

• Urban traffic network modeling and simulation for CAVs • Traffic control system design and optimization • Shared mobility technologies for CVs, AVs, and EVs • Data-driven spatiotemporal traffic forecasting

EDUCATION University of Washington, Seattle, WA Ph.D. in Transportation Engineering, 2016 – 2019 Dissertation: Connected Vehicle-based Traffic Signal Optimization (Advisor: Dr. Xuegang (Jeff) Ban)

Rensselaer Polytechnic Institute, Troy, NY Ph.D. in Transportation Engineering, 2014 – 2016 (Transfer to UW)

Georgia Institute of Technology, Atlanta, GA M.S. in Computer Science Engineering, 2019 – 2020 (Expected)

Louisiana State University M.S. in Transportation Engineering, Secondary field in Statistics, 2012 – 2014 Thesis: Agent-Based Dynamic Feedback-Control Toll Pricing Approach (Advisor: Dr. Sherif Ishak)

Sun Yat-sen University B.S. in Civil Engineering, secondary filed in Public Relationship, 2008 – 2012

PROFESSIONAL EXPERIENCES Oak Ridge National Laboratory (Knoxville, TN). Aug 2019 – Present Postdoc Research Associate in Energy & Transportation Science Division Project: Investigate the energy and mobility impacts of innovative shared mobility technologies.

Huawei (Bellevue, WA). Jan 2019 – June 2019 Artificial Intelligence Engineer in EI Cloud Group Project: Intelligent traffic signal control system based on imitation learning.

DiDi Chuxing (Beijing, China). Aug 2018 – Oct 2018 Algorithm Engineer in Smart Transportation Division Project: Advanced data analytics using trajectory data from DiDi drivers.

University of Washington (Seattle, WA). Sep 2016 – Jun 2019 1

Graduate Research Assistant in Department of Civil and Environmental Engineering Lab lecturer for graduate course CEE 593 Transportation System Analysis – Programming with SUMO. Guest Lecturer for graduate course CET 585 Analytical Methods in Transportation II

Rensselaer Polytechnic Institute (Troy, NY). Aug 2014 – Aug 2016 Graduate Research Assistant, Lab lecturer in the Department of Civil and Environmental Engineering. Instructor for graduate course CIVL 6270 Traffic Simulation and Control – Traffic simulation in VISSIM.

Louisiana State University (Baton Rouge, LA). Aug 2012 – May 2014 Graduate Research Assistant in Department of Civil and Environmental Engineering.

HONORS & AWARDS

Second Prize, Transportation Forecasting Competition, Organized by: ABJ70, IEEE ITSS & Didi 2019 Concord Engineering Term Graduate Student Support Fund 2018 Outstanding Reviewer, Transportation Research Part C. 2018 Graduate Student Conference Travel Awards, University of Washington 2017, 2019 Graduate Travel Grant, Rensselaer Polytechnic Institute 2016 Outstanding Award, Graduate Student Research Conference in Louisiana State University 2014 Graduate Student Association Travel Awards, Louisiana State University 2013 First Prize, Undergraduates Innovative Project Competition of Guangdong Provincial 2011 Second Prize, Debating Championship in Sun Yat-sen University 2011 Second Prize, Table Tennis Championship Team Events in Sun Yat-sen University 2011

PUBLICATIONS

Refereed Journal Publications

1. Li, W., Wang, J., Fan, R., Zhang, Y., Guo, Q., Siddique, C., & Ban, X. J. (2020). Short-term traffic state prediction from latent structures: Accuracy vs. efficiency. Transportation Research Part C: Emerging Technologies, 111, 72-90. 2. Li, W. & Ban, X. (2019). Connected Vehicles Based Traffic Signal Coordination. Engineering (Accepted). 3. Li, W. & Ban X. (2019). A Deep Learning Approach for Movement-based Traffic Volume Prediction at Signalized Intersection. Journal of Transportation Engineering. (Revision). 4. Li, W. & Ban, X. (2018). Connected Vehicles Based Traffic Signal Timing Optimization. IEEE Transactions on Intelligent Transportation Systems. vol. 20, no. 12, pp. 4354-4366. doi: 10.1109/TITS.2018.2883572 5. Li, W., Cheng, D., Bian, R., Ishak, S., & Osman, O. A. (2017). Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach. IET Intelligent Transport Systems. DOI10.1049/iet-its.2017.0004. 6. Ke R, Li W., Cui Z, Wang Y (2019) Multi-lane traffic pattern learning and forecasting using convolutional neural network. Transportation Research Record. 7. Xu, B., Ban, X., Bian, Y., Li, W., Wang, J., & Li, K. (2018). V2I based Cooperation between Traffic Signal and Approaching Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2018.2849029. 8. Zhao, J., Li, W., Wang, J., & Ban, X. (2016). Dynamic Traffic Signal Timing Optimization Strategy Incorporating Various Vehicle Fuel Consumption Characteristics. IEEE Transactions on Vehicular Technology, 65(6), 3874-3887.

9. Cheng, D., Li, W., & Ishak, S. (2014). Accounting for Travel Time Reliability and Trip Purpose in an Agent-Based Dynamic Feedback-Control Toll Pricing Approach: A Case Study on the I-95 Managed Lanes Corridor. Transportation Research Record: Journal of the Transportation Research Board. Dec 2014, Vol. 2470, pp. 131-141.

Working Papers

10. Li, W. (2020). Cooperative Traffic Signal Control using Conflicted Attention Network. To be submitted to IEEE transaction on ITS. 11. Li, W. & Lin, Z. (2019). Energy and Mobility Impacts of Innovative Shared Mobility Technologies for the First Mile/Last Mile (FMLM) Trips. To be submitted to Energy. 12. Li, W., Xie, F., Liu, N., & Lin, Z. (2019). Calibration and Acceleration of MA3T Model to Quantify the Uncertainty of Future Electric Vehicle Market. 13. Ou, S., Li, W., & Lin, Z. (2019). Vehicle Price Forecasting Considering Vehicle Components and Vehicle Sales Based on Market Data in China.

Refereed Conference Proceedings

14. Li, W. & Liu, Z. (2020). Adaptive Traffic Signal Control based on Partial Knowledge of Traffic States. In Proceedings of ASCE International Conference on Transportation & Development. 15. Li, W. & Ban, X. (2020). Short-term Traffic State Prediction: Accuracy vs. Efficiency. In Proceedings of Transportation Research Board 99th Annual Meeting. 16. Li, W. & Ban, X. (2019). A Deep Learning Approach for Lane based Traffic Volume Prediction at Signalized Intersection. In Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington, DC. 17. Li, W. & Ban, X. (2019). Connected Vehicles Based Traffic Signal Coordination. In Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington, DC. 18. Li, W., Siddique, C., & Ban, X. (2018). Data-Driven Travel Time Prediction from Latent Structures using Multiple Data Sources. In 7th International Workshop on Urban Computing, ACM KDD 2018. London, UK. 19. Li, W., Ban, X., (2018). Traffic Signal Timing Optimization under Connected Vehicles environment. In Proceedings of the 97th Annual Meeting of Transportation Research Board, Washington, DC. 20. Li, W., Ban, X., (2017). Traffic signal timing optimization in connected vehicles environment. In Proceedings of the IEEE Intelligent Vehicle Symposium, June 11-14, Redondo Beach, CA. 21. Li, W., Ban, X. (2017). Big data analysis based decision-making tool for applying adaptive traffic control systems. In Proceedings of the 96th Annual Meeting of Transportation Research Board, Washington, DC. 22. Li, W., Ban, X. J., & Wang, J. (2016). Traffic signal timing optimization incorporating individual vehicle fuel consumption characteristics under connected vehicles environment. In IEEE Connected Vehicles and Expo (ICCVE). 23. Ke, R., Li, W., Cui, Z., Wang, Y. (2020) Two-Stream Multi-Channel Convolutional Neural Network (TMCNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. Transportation Research Board 99th Annual Meeting. 24. Sun, Z., Li, W., & Ban, X. (2018). Adaptive Traffic Signal Control System (ACS-Lite) on Heavily Congested Arterial Traffic: Experiences and Lessons Learned. COTA International Conference of Transportation Professionals, CICTP. 25. Cheng, D., Li, W., & Ishak, S. (2014). Accounting for Travel Time Reliability and Trip Purpose in an Agent-Based Dynamic Feedback-Control Toll Pricing Approach: A Case Study on the I-95 Managed Lanes Corridor. In Proceedings of the 93rd Annual Meeting of Transportation Research Board, Washington, DC.

Technical Reports

26. Ban, X., Wojtowicz, J., Li, W. (2016). Decision-Making Tool for Applying Adaptive Traffic Signal Control System. Final Report to NYSERDA and NYSDOT. 27. Ban, X., Li, W. (2018). Connected Vehicle Based Traffic Signal Optimization. C2SMART USDOT Tier 1 University Transportation Center. 28. Wilmot, C., Li, W., Glascock, S., &Graham, G.2015. Improving Freight Crash Incident Management. Technical FHWA/LA 14/542.

Conference Presentation

1. “Deep Learning Methods for Real Time Traffic Volume Prediction for Signalized Intersections”. 2019 Informs Annual Meeting. Seattle, WA. October 2019. 2. “Connected Vehicles Based Traffic Signal Timing Optimization”. ACSD International Conference on Transportation and Development, Pittsburgh, Pennsylvania. July 2018. 3. “A Deep Learning Approach for Lane based Traffic Volume Prediction at Signalized Intersection”. 98th Annual Meeting of Transportation Research Board, Washington, DC. January 2019. 4. “Connected Vehicles Based Traffic Signal Coordination”. 98th Annual Meeting of Transportation Research Board, Washington, DC. January 2019. 5. “Data-Driven Travel Time Prediction from Latent Structures using Multiple Data Sources”. 7th International Workshop on Urban Computing, ACM KDD. London, UK. August 2018. 6. “Traffic Signal Optimization based on Connected Vehicles”. ASCE International Conference on Transportation & Development. Pittsburgh, PA. 7. “Traffic Signal Timing Optimization with Connected Vehicles”. 97th Annual Meeting of Transportation Research Board, Washington, DC. January 2018. 8. “Traffic signal timing optimization in connected vehicles environment”. IEEE Intelligent Vehicle Symposium, Redondo Beach, CA. June 11-14, 2017. 9. “Big data analysis based decision-making tool for applying adaptive traffic control systems”. 96th Annual Meeting of Transportation Research Board, Washington, DC. January 2017. 10. “Traffic signal timing optimization incorporating individual vehicle fuel consumption characteristics under connected vehicles environment”. IEEE Connected Vehicles and Expo (ICCVE). Seattle, WA. September 2016. 11. “Accounting for Travel Time Reliability and Trip Purpose in an Agent-Based Dynamic Feedback-Control Toll Pricing Approach: A Case Study on the I-95 Managed Lanes Corridor”. 93rd Annual Meeting of Transportation Research Board, Washington, DC. January 2014.

PROPOSAL WRITING

1. United State Department of Energy. Smart Mobility 2.0. “TransitMo: Energy and Mobility Impacts of Innovative Shared Mobility Technologies for First Mile/Last Mile (FMLM) Trips”. To be submitted in Jan 2020. 2. United State Department of Energy. Vehicle Technology Office. “Energy Impacts of CAV at Urban Road Network”. To be submitted in Feb 2020. 3. DiDi Chuxing. Research Project. “Methods for Mobile sensing based real time traffic signal control”. Accepted in 2018. 4. United State Department of Transportation, Tier 1 University Transportation Center (C2SMART) Research Project. “Connected Vehicle Based Traffic Signal Optimization.” Accepted in 2016, (Total Fund: $1,000,000).

TEACHING EXPERIENCE

Instructor, University of Washington Spring 2019 CEE 593 Transportation System Analysis – Programming with SUMO.

Guest Lecturer University of Washington Fall 2018 CET 585 Analytical Methods in Transportation II – Linear and Nonlinear Programming in Python

Instructor, Rensselaer Polytechnic Institute Spring 2015 CIVL 6270 Traffic Simulation and Control – Traffic simulation in VISSIM.

INVITED TALK

1. Urban Traffic Modeling and Control with Mobile Sensing. Invited talk at Futurewei Technology Inc. Bellevue, WA. Nov 21, 2018. 2. Traffic Signal Control with Connected & Automated Vehicles. Invited talk at the Automated Vehicle Symposium. San Francisco, CA. July 13, 2018. 3. Big data analysis based decision-making tool for applying adaptive traffic control systems. Invited talk at the Second Annual Symposium on Transportation Informatics. George Mason University, Arlington, Virginia. August 4, 2016.

ACADEMIC SERVICE Reviewer for the following journals Transportation Research Part C, Outstanding Reviewer Certificate IEEE Transaction on Intelligent Transportation System. Journal of Intelligent Transportation System. Journal of Transportation Research Record. Knowledge and Information Systems Reviewer of following Conference Proceedings Transportation Research Board Annual Conference COTA International Conference of Transportation Professionals ASCE International Conference on Transportation & Development

STUDENT MENTORING

Jing Jia, iUTS Lab, University of Washington. Jan 2019 – June 2019 Exchange Undergraduate Student, Department of Mechanical Engineering, Tsinghua University. Undergraduate Thesis: Real-time Feedback Traffic Signal Controller Based on Partial Knowledge of Connected Vehicles

Bihong Xu, iUTS Lab, University of Washington Jan 2019 – June 2019 Master Student, Transportation Engineering at University of Washington. Master Thesis: Trajectory Prediction of Unequipped Vehicles Given Connected Vehicle information.

Frank Yang, iUTS Lab, University of Washington July 2018 – Aug 2018 5

Master Student, Automation, Tsinghua University. Research Topic: Connected vehicle simulation in urban road network.

Li Sun, Rensselaer Polytechnic Institute Jan 2015 – March 2015 Undergraduate student, Civil Engineering, Rensselaer Polytechnic Institute Research Topic: Big data analysis base decision-making tool for applying adaptive traffic signal control system.