Summary

My main research focuses on traffic modeling, estimation and control, and I find probability and control theories fascinating. I have received the Dwight David Eisenhower Transportation Fellowship that supports my graduate studies. Please see my research page for more details.

Yanbing Wang

Education

  • Ph.D. in Civil & Environmental Engineering, Vanderbilt University (2023)
  • B.S. in Civil & Environmental Engineering, University of Illinois at Urbana-champaign (2018)

  • Experience

    • Argonne National Laboratory, Lemont IL (2024-present)
      • Postdoctoral Researcher, Vehicle Mobility Systems
    • Vanderbilt University, Nashville TN (2018-2023)
      • Research Engineer, Institute for Software Integrated Systems
      • Research Assistant, Institute for Software Integrated Systems (Advisor: Prof. Daniel Work)
    • Mitsubishi Electric Research Laboratories, Cambridge MA (2023)
      • Research Intern at Control for Autonomy Group (Mentor: Dr. Marcel Menner)
    • Toyota North America, Mountainview CA (2021)
      • Research Intern at the Infotech Labs
      • Supervisor: Dr. Kyungtae Han and Dr. Ziran Wang
    • NetMath, Urbana IL (2018)
      • Instructor for Differential Equation
    • Engineering IT Shared Services, Urbana IL (2015-2017)
      • Engineering IT Student Consultant


    Publication

    Journal Articles
    • Y. Wang, D. Gloudemans, J. Ji, Z. N. Teoh, L. Liu, G. Zachár, W. Barbour, and D. Work, “Automatic vehicle trajectory data reconstruction at scale”, Transportation Research Part C: Emerging Technologies 160 (0968-090X), 104520.
    • D. Gloudemans, Y. Wang, J. Ji, G. Zachár, W. Barbour, E. Hall, M. Cebelak, L. Smith, and D. Work, “I-24 motion: A new instrument to enable freeway traffic science”, Transportation Research Part C: Emerging Technologies, vol. 155, p. 104311, 2023, issn: 0968-090X.
    • P. Choobchian, G. Roscoe, T. Dick, B. Zou, D. Work, K. Zhang, Y. Wang, and Y.C. Hung, “Leveraging connected vehicle platooning technology to improve the efficiency and effectiveness of train fleeting under moving blocks”, Transportation Research Part C: Emerging Technologies, vol. 148, p. 104 026, 2023, issn: 0968-090X.
    • Y. Hu, A. Qu, Y. Wang, and D. B. Work, “Streaming data preprocessing via online tensor recovery for large environmental sensor networks”, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 16, no. 6, pp. 1–24, 2022. Preprint
    • Y. Wang, Z. Wang, K. Han, P. Tiwari and D.B. Work. “Gaussian Process-based personalized adaptive cruise control”. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21178-21189, Nov. 2022, doi: 10.1109/TITS.2022.3174042. Preprint
    • Y. Wang, M.L.Delle Monache and D.B. Work, “Identifiability of car-following dynamics”. Physica D: Nonlinear Phenomena, 133090, ISSN 0167-2789, https://doi.org/10.1016/j.physd.2021.133090, 2021. Preprint
    • Y. Wang, G. Gunter, M. Nice and M. L. Delle Monache and D. B. Work. “Online parameter estimation methods for adaptive cruise control systems”, IEEE Transactions on Intelligent Vehicles, Vol. 5, 2020. Preprint
    • Y. Wang and D. B. Work, “Estimation for heterogeneous traffic using enhanced particle filters”. Transportmetrica A: Transport Science. doi: 10.1080/23249935.2021.18811862020. Preprint
    Conference Proceedings
    • Y. Wang, M. Menner, and K. Berntorp, “Physics-Informed Road Monitoring and Suspension Control using Crowdsourced Vehicle Data”, European Control Conference 2024.
    • J. Ji, Y. Wang, D. Gloudemans, G. Zachár, W. Barbour, and D. B. Work, “I-24 motion virtual trajectories: Data and tools”, in the 4th IEEE Forum for Innovative Sustainable Transportation Systems (FISTS), 2023.
    • D. Gloudemans, G. Zachár, Y. Wang, J. Ji, M. Nice, M. Bunting, W. Barbour, J. Sprinkle, B. Piccoli, M. L. D. Monache, et al., “So you think you can track?”, in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    • J. Ji, Y. Wang, W. Barbour, and D. B. Work, “Platoon trajectory reconstruction with conflict resolution using semidefinite relaxation”, in 2023 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, 2023.
    • Y. Wang, J. Ji, W. Barbour and D. B. Work, “Online Min Cost Circulation for Multi-Object Tracking on Fragments”, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 2803-2810, doi: 10.1109/ITSC57777.2023.10422670.
    • D. Gloudemans, Y. Wang, G. Gumm, W. Barbour, and D. B. Work, “The interstate-24 3d dataset: A new benchmark for 3d multi-camera vehicle tracking”, in British Machine Vision Conference (BMVC).
    • Y. Hu, Y. Zhang, Y. Wang, and D. B. Work, “Detecting socially abnormal highway driving behaviors via recurrent graph attention networks”, in The Web Conference 2023, Austin, Texas, USA, ACM, 2023, pp. 1–6.
    • Y. Wang, Z. Wang, K. Han, P. Tiwari and D.B. Work. “Personalized adaptive cruise control via Gaussian Process regression”. 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC), 2021. Preprint
    • A. Qu, Y. Wang, Y. Hu, Y. Wang and H. Baroud. “A data-integration analysis on road emissions and traffic patterns”. Smoky Mountains Computational Sciences and Engineering Conference (SMC), 2020. Preprint
    • Y. Wang, G. Gunter and D. B. Work, “Online parameter estimation of adaptive cruise control models with delays and lags,” 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, pp. 1-6, doi: 10.1109/ITSC45102.2020.9294538. Preprint
    • Y. Hu, Y. Wang, C. Jiao, R. Sankaran, C. Catlett and D. Work. “Automatic data cleaning via tensor factorization for large urban environmental sensor networks“. In the workshop CCAI NeurIPS, 2019. Preprint
    • G. Gunter, Y. Wang, D. Gloudemans, R. Stern, D. Work, M. L. Delle Monache, R. Bhadani, M. Bunting, R. Lysecky, J. Sprinkle, B. Seibold, B. Piccoli. “String stability of commercial adaptive cruise control vehicles: WiP abstract” In Proceedings of the International Conference on Cyber-Physical Systems, ICCPS ’19, , pages 328–329, New York, NY, USA, 2019. ACM. Download
    • Y. Wang and D. B. Work, “Heterogeneous traffic estimation with particle filtering,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2551-2556. doi: 10.1109/ITSC.2019.8917248. Download
    Under review
    • Y. Zhang, M. Quinones-Grueiro, Z. Zhang, Y. Wang, W. Barbour, G. Biswas, and D. Work, “Marvel: Multi-agent reinforcement-learning for large-scale variable speed limits”, under review.
    • J.W. Lee,..., Y. Wang, et al., “Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs”, under review.


    Talks

    • “Automatic Trajectory Data Reconstruction: Application to I-24 MOTION”, Transportation Research Board Annual Meeting, Washington, D.C., 2023
    • “Intelligent Solutions for Traffic Improvements”. Vanderbilt Summer Academy. July 2022.
    • “Automatic Trajectory Data Reconstruction”. IPAM Lake Arrowhead Reunion Conference. June 2022.
    • “Personalized adaptive cruise control via Gaussian Process”, 1st CIRCLES Workshop on traffic and Autonomy, 2021.
    • “Interstate-24 MOTION: Enabling smart mobility with high-fidelity trajectory extractions.” The 32nd IEEE Intelligent Vehicle Symposium Workshop: Cooperative Driving in Mixed Traffic, 2021.
    • “Identifiability of car-following dynamics”. Transportation Research Board Annual Meeting poster session, Washington, D.C., 2021.
    • “Automatic data cleaning via tensor factorization for large urban environmental sensor networks”. Tackling Climate Change with Machine Learning Workshop, NeurIPS 2019.
    • “Online parameter estimation for adaptive cruise control systems”, Transportation Research Board Annual Meeting poster session, Washington, D.C., 2020.
    • “Heterogeneous traffic estimation with particle filtering”. IEEE Conference on Intelligent Transportation Systems, Auckland, New Zealand, 2019.
    • “Complex traffic estimation”. Transportation Research Board Annual Meeting poster session, Washington, D.C., 2019.
    • “Video as a sensor”. the 13th Coordinated Science Laboratory Student Conference, Urbana, IL, 2018.

    Leadership & Mentoring

    Mentor for Independent Research, Vanderbilt University (2019 – 2023)
    • Jane Sun, Undergraduate in Computer Science and Psychology, on data analysis and visualization
    • Lisa Liu, Undergraduate in Electrical Engineering, on MongoDB configuration and benchmark
    • Zi Nean Teoh, Undergraduate in Computer Science and Math, on simulation and data visualization
    • David Gao, Undergraduate in Computer Science, on system logs with ElasticSearch
    • Arthur Sung, Undergraduate in Computer Science, on driving behavior analysis using graphs
    • Ao Qu, Undergraduate in Computer Science, now PhD student @ MIT, on spatial-temporal modeling for smart cities applications
    • Canwen Jiao, Undergduate in Computer Science, now @ Google, on urban-scale environmental sensing analysis
    Course Instructor at NetMath, University of Illinois at Urbana-Champaign (2017 – 2018)
    • Instructed an online course on Differential Equations
    Engineers in Action (EIA) Bridge Chapter at University of Illinois at Urbana-Champaign (2016-2017)
    • Co-Founder, Advisor: Prof. Bassem Andrawes
    • Led a 6-member student team to design and construct a 76-meter cable suspended footbridge that facilitates 1500 daily crossings in Bajo Maiz, Panama.
    • Supervised an on-site construction of a 34-meter pedestrian bridge in Patzula, Joyabaj, Guatemala.Fundraised $2,500 for bridge-building projects and recruited 2 technical mentors for on-site construction.

    Patents

    • R. Gupta, Y. Wang, Z. Wang, K. Han, and P. Tiwari. “Hybrid ‘Deterministic Override’ to Probabilistic Advanced Driving Assistance Systems”. U.S. patent application 17/398666, Filed Aug. 2021.
    • R. Gupta, Y. Wang, Z. Wang, K. Han, and P. Tiwari. “Systems and Methods for Protecting a Vehicle at an Intersection”. U.S. patent application 17/41183, Filed Aug. 2021.
    • Y. Wang, Z. Wang, K. Han, R. Gupta, and P. Tiwari. “System and Methods for personalizing Adaptive Cruise Control in a Vehicle”. U.S. patent application 17/387045, Filed Jul. 2021.
    • R. Gupta, Z. Wang, Y. Wang, K. Han, and P. Tiwari. “Detection, Classification, and Prediction of Bacteria Colony Growth in a Vehicle Passenger Cabin”. U.S. patent application 17/373050, Filed Jul. 2021.
    • R. Gupta, Z. Wang, Y. Wang, K. Han, and P. Tiwari. “Vehicular Topple Risk Notification”. U.S. patent application 17/385012, Filed Jul. 2021.

    Awards

    • Cyber-Physical Systems (CPS) Rising Star, University of Virginia Link Lab, 2023
    • Dwight D. Eisenhower Transportation Fellowship, USDOT, 2018-2023
    • Sidney P. Colowick Graduate Student Scholarship, Vanderbilt University, 2021
    • Harold Stirling Vanderbilt (HSV) Fellowship, Vanderbilt University, 2021
    • Russell G. Hamilton Scholar Graduate Fellowship, Vanderbilt University, 2018-2021
    • Fred S. Bailey Undergraduate Scholarship for Cause-Driven Leaders, University YMCA, 2017
    • Duane Edward and Phyllis Ann Erickson Memorial Scholarship, University of Illinois, 2017
    • Samuel C. Roberts Award, Civil Engineering at University of Illinois, 2016
    • Edmund J. James Scholar, University of Illinois, 2014-2018
    • Dean’s List, University of Illinois, 2014-2018

    Professional development

    Journal & Conference Reviewer
    • International Symposium on Transportation and Traffic Theory
    • IEEE Conference on Decision and Control
    • IEEE Transactions on Intelligent Transportation Systems
    • IEEE International Intelligent Transportation Systems Conference
    • IEEE Intelligent Vehicle Symposium
    • ICLR Workshop “Tackling Climate Change with Machine Learning”
    Workshop Participation
    • Long Program: Mathematical Challenges and Opportunities for Autonomous Vehicles at Institute for Pure and Applied Mathematics (IPAM), 2020
    • Workshop on Control for Networked Transportation Systems (CNTS) at American Control Conference (ACC), 2019

    Skills

    • Programming languages & tools: Python, MATLAB, Java, HTML, Jekyll, Git, MongoDB
    • Languages: Mandarin (native), English (proficient)