Team

Postdoc Researchers

1. Yuyan (Annie) Pan (2024.4-present) is a postdoctoral scholar at Pennsylvania State University, in the Department of Civil and Environmental Engineering, working in the Smart Mobility Lab. She received her Master’s degree and Ph.D. in Transportation Engineering from Beijing University of Technology. She earned her Bachelor’s degree in Transportation Engineering from Shandong University of Technology. Her research interests include connected and automated vehicles, transportation electrification, mobility demand management, machine learning, and traffic flow estimation and prediction. She is leading the PennDOT Act130 project, as well as the DOE streetlight charging project.

2. Tianjia Yang (2024.6-present) is a postdoctoral scholar at Pennsylvania State University, in the Department of Civil and Environmental Engineering, working in the Smart Mobility Lab. He received his bachelor degree in Transportation from Huazhong University of Science and Technology in 2009, master degree in Transportation Planning and Management from Tongji University in 2012, and Ph.D. degree in Infrastructure and Environmental Systems from the University of North Carolina at Charlotte in 2024. His research interests include intelligent transportation systems, machine learning, connected and autonomous vehicles, transportation electrification, operation research, and traffic flow theory. He is leading the PA DEP project on MHD ZEVs.

Ph.D. Students

1. Qing Tang (2018.8~2023.7) received PhD degree from the Transportation Engineering program at PennState, and was the manager of the SmartMobility Lab. Her research focuses on the testing, operation and ODD of the Autonomous Vehicles. She is a pioneer researcher on lead-follower Autonomous Traffic Mobile Attenuator (ATMA) vehicle system. She was the Vice President of the Institute of Transportation Engineers at MST. Currently, she is a postdoc researcher at Georgia Tech. She is currently a Tenure Track Assistant Professor of Old Dominion University.

 

She is the recipient of the following awards:

  1. Mark E. and Claire L. Alpert Graduate Fellowship,
  2. Leo P. Russell Graduate Fellowship,
  3. Ozarks Chapter ITE (OCITE) student excellence scholarship, and
  4. First-place winner of Central Missouri ITE (CMITE) Student Poster Competition.
  5. Excellent Paper Award. 2018 World Transport Convention.

and published the following journal articles as the first-author during her PhD study:

  1. Tang, Q.#, Hu, X.*, Lu, J., Zhou, X. (2021). Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem. Transportation Research Part B: Methodological, 148, 106-131. https://doi.org/10.1016/j.trb.2021.04.008
  2. Tang, Q.#, Hu, X.* (2022). A Multi-State Merging Based Analytical Model for an Operation Design Domain of Autonomous Vehicles in Work Zones on Two-lane Highways. Journal of Intelligent Transportation Systems Technology Planning and Operations. https://doi.org/10.1080/15472450.2022.2130697
  3. Tang, Q.#, Cheng, Y.#, Hu, X.*, Chen, C. #, Song, Y. #, Qin, R. (2021). Evaluation Methodology of Leader-Follower Autonomous Vehicle System for Work Zone Maintenance. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177%2F0361198120985233
  4. Tang, Q.#, Hu, X.*, Ru, Q. (2021). Development of Operation Guidelines for Leader-Follower Autonomous Maintenance Vehicles at Work Zone Locations. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177%2F03611981211056644
  5. Tang, Q.#, Hu, X.*, Yang, H. (2021). Identification of Operational Design Domain for Autonomous Truck Mounted Attenuator System on Multilane Highways. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177%2F03611981211061555
  6. Tang, Q.#, Hu, X.* (2020). Modeling Individual Travel Time with a Back Propagation Neural Network Approach for Advanced Traveler Information Systems. ASCE Journal of Transportation Engineering, Part A: Systems. https://doi.org/10.1061/JTEPBS.0000359
  7. Tang, Q.#, Hu, X., Qi, H. (2020). Modeling Routing Behavior Learning Process for Vacant Taxis in A Congested Urban Traffic Network. ASCE Journal of Transportation Engineering, Part A: Systems. https://doi.org/10.1061/JTEPBS.0000352
  8. Tang, Q.#, Hu, X.* (2019). Triggering behavior changes with information and incentives: An active traffic and demand management-oriented review. Advances in Transport Policy and Planning, Academic Press. https://doi.org/10.1016/bs.atpp.2019.05.002

2. Yang (Chris) Song (2019.1~2023.12) received PhD degree from the Transportation Engineering program at PennState. He received his bachelor degree in Civil Engineering from Chang’an University in 2015 and master degree in Transportation Engineering from Tongji University in 2018. His research focuses on electric vehicles, machine learning algorithms, and transportation infrastructure management. He was the President of the Institute of Transportation Engineers at Missouri S&T, and recipient of first place poster competition award in the 2023 Global Symposium on Connected and Automated Vehicles and Infrastructure. He is currently a Data Scientist at ElectroTempo, Inc..

He is the recipient of the following awards:

  1. Leo P. Russell Graduate Fellowship, 2023
  2. First place poster competition award in the 2022 Global Symposium on Connected and Automated Vehicles and Infrastructure (Chris Song). 2022.

and published the following journal articles as the first-author during his PhD study.

  1. Song, Y.#, Hu, X.* (2023). Learning-Based Demand-Supply-Coupled Charging Station Location Problem for Electric Vehicle Demand Management. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2023.103975
  2. Song, Y.#, Hu, X. *, Lu, J., Zhou, X. (2022). Analytical Approximation and Calibration of Roundabout Capacity: A Merging State Transition-based Modeling Approach. Transportation Research Part B: Methodological. https://doi.org/10.1016/j.trb.2022.07.006
  3. Song, Y.#, Wang, D.,Hu, X., Liu, J. (2022) An Efficient and Explainable Ensemble Learning Model for Asphalt Pavement Condition Prediction Based on LTPP Dataset. IEEE Transactions on Intelligent Transportation Systems https://doi.org/10.1109/TITS.2022.3164596
  4. Song, Y.#, Hu, X.* (2021). Learning Electric Vehicle Driver Range Anxiety with An Initial State of Charge-Oriented Gradient Boosting Approach. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations https://doi.org/10.1080/15472450.2021.2010053

3. Chenxi Chen (2018.9~present) is a Ph.D. Student in Transportation Engineering at PennState.  He received his Bachelor degree from Zhejiang University, and Master degree from Missouri S&T. His research is focused on autonomous vehicles, machine learning, and mobility data analysis. Chenxi has won multiple awards, including the first prize in the 2017 national civil engineering outstanding innovation practice achievement award, the first prize in the 2017 national college of intelligent transportation innovation and entrepreneurship competition, among others.

 

He is the recipient of the following awards:

  1.  IACIP (International Association of Chinese Infrastructure Professionals) Student Best Presentation Award, 2024.

and has published the following journal articles as the first-author during his PhD study.

  1. Chen, C.#, Tang, Q.#, Hu, X., Huang, Z. (2023). Infrastructure Sensor-based Cooperative Perception for Early Stage Connected and Automated Vehicle Deployment. Journal of Intelligent Transportation Systems Technology Planning and Operations. https://doi.org/10.1080/15472450.2023.2257596
  2. Chen, C.#, Song, Y. #, Hu, X., Wang, D., Liu, J. (2023). A Machine Learning-Based Approach to Assess Impacts of Autonomous Vehicles on Pavement Roughness. Philosophical Transactions of the Royal Society A. https://doi.org/10.1098/rsta.2022.0176
  3. Chen, C.#, Hu, X.*, Li, Y.#, Tang, Q.# (2023). Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2023.3309783
  4. Chen C. #, Song Y. #, Hu, X.*, Guardiola I. (2020). Analysis of Electric Vehicle Charging Behavior Patterns with Function Principal Component Analysis Approach. Journal of Advanced Transportation. https://doi.org/10.1155/2020/8850654 

4. Yuxin Ding (2023.8~present) is a Ph.D. Student in Transportation Engineering at PennState.  He received his Bachelor degree from the Civil Aviation University Of China, and Master degree from Georgia Institute Of Technology. His research is focused on autonomous vehicles and dynamic system modeling.

 

 

 

He is the recipient of the following awards:

  1. FEGR Assistantship Stipend Supplement Fund. 2023.

5. Shuhua Hong (2024.8~present) will start as a Ph.D. Student in Transportation Engineering at Penn State in the fall semester of 2024.

6. Zirui Wu (2024.8~present) will start as a Ph.D. Student in Transportation Engineering at Penn State in the fall semester of 2024.

Master Students 

  1. Giovanni Dassa. 2022- 2024. Thesis “Spatial Analysis of Electric Car Charging Station Locations in Illinois”.
  2. Marie Buckman. 2020-2021. at Missouri S&T
  3. Kevin Reis. 2020-2021. at Missouri S&T
  4. Venkata Siddhartha Naidu Chokkakula. 2018-2019. at Missouri S&T
  5. Chenxi Chen. 2018-2021. Thesis “Optimization of transit smart card data publishing based on differential privacy”. at Missouri S&T

Visiting Scholars

  1. ​Yanqiu Cheng. Visiting scholar at Missouri University of Science and Technology between 2018 and 2020. Partially supported by Missouri DOT project on Automated Vehicle for Work Zone Safety. He is now an Assistant Professor at Chang’an University.
  2. Yang Li. A visiting scholar at Missouri University of Science and Technology between 2018.10 and 2019.10. She is now a Professor in the School of Computers, Guangdong University of Technology, China

Undergraduate Researchers

  1. Danielle Elizabeth Venuto. Supported by PA DEP grant. Medium and Heavy-Duty Vehicle Electrification. 2023/1-2023/6.
  2. Victoria Page Butler. Supported by NASA Women in Science and Engineering Research (WISER) scholarship. 2023/1-2023/12.
  3. Alexandria Rhoads. UG student volunteer. 2023/1-2023/12.
  4. Shaun Teow. Supported by PennState REU scholarship. 2023/5-2023/8.
  5. Sarah Petry. Supported by PennState REU scholarship. 2023/5-2023/8.
  6. Deshaun Arrington. Supported by ATMA pooled fund project. 2020-2021.
  7. Ashley Fillback. Supported by OURE program. The Effects of the MoveRolla TDD Project on the Pedestrian. 2018/5- 2019/4.
  8. Matt DeMoss. Supported by CMT driving simulator project. 2019.
  9. David Doell. Supported by CMT driving simulator project. 2019.
  10. Shihao Pan. Supported by OURE program. Transportation Network Simulation of Rocheport (MO) Area. 2018/5- 2019/4.
  11. Kara Duong. Supported by OURE program. Pedestrian Studies: Effects of Impairment and the Impact on Travel Safety. 2019/5- 2020/4