Xiaobo Ma

Xiaobo Ma

Ph.D.at the University of Arizona

Publications

Journal Papers

  1. Xiaobo Ma, Adrian Cottam, Mohammad Razaur Rahman Shaon, and Yao-Jan Wu, 2024. Localized Adaptive Freeway Traffic State Prediction Following Ramp Control Scheme Changes (under review).
  2. Zepu Wang, Xiaobo Ma, Huajie Yang, Weiming Lyu, Peng Sun and Sharath Guntuku, 2024. Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks (under review).
  3. Zijian Zhang, Yujie Sun, Zepu Wang, Yuqi Nie, Xiaobo Ma, Peng Sun, Ruolin Li, 2024. Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks (under review).
  4. Huajie Yang, Jiali Lin, Jiahao Shi, and Xiaobo Ma, 2024. Testing the Constant Commuting Time Hypothesis Amid Substantial Changes to Transportation and Land Use: Case Study of Portland, OR 1994-2011(under review).
  5. Xiaobo Ma, Xiao Li, and Hyunsoo Noh, 2024. Travel Reduction through Telecommuting: Lessons Learned from COVID-19 (To be submitted).
  6. Xiaobo Ma, Ryan Hatch, and Hyunsoo Noh, 2024. Network-level Turning Movement Count Estimation Based on Transfer Learning (To be submitted).
  7. Xiaobo Ma, Eric Kramer, and Hyunsoo Noh, 2024. Facilitating Employment Database Updates for Transportation Planning with Natural Language Processing (To be submitted).
  8. Xiao Li, Xiaobo Ma, and Hyunsoo Noh, 2024. Exploring Determinants of Telecommute based on Travel Reduction Program Data (To be submitted).
  9. Yu Li, Huajie Yang, and Xiaobo Ma,2024. Impact of Bike-Sharing Systems on Mode Substitution: An Intergenerational Perspective (To be submitted).
  10. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2024. A Transfer Learning Approach for Vehicle Delay Estimation at Signalized Intersections (To be submitted).
  11. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2024. Short-term vehicle delay prediction at signalized intersections using high-resolution event-based data (To be submitted).
  12. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2024. Short-term pedestrian delay prediction at signalized intersections using high-resolution event-based data (To be submitted).
  13. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2024. Estimating pedestrian delay at signalized intersections using high-resolution event-based data: A transfer learning approach (To be submitted).
  14. Adrian Cottam, Xiaofeng Li, Xiaobo Ma, and Yao-Jan Wu, 2024. Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona. Journal of Transportation Engineering, Part A: Systems, 150(7), 04024030.
  15. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2024. Data-driven Transfer Learning Framework for Estimating On-ramp and Off-ramp Traffic Flows. Journal of Intelligent Transportation Systems, 1-14 (2023 Transportation Research Board 102nd Annual Meeting Spotlight of AI Research: Explainable AI).
  16. Xiaobo Ma, Adrian Cottam, Mohammad Razaur Rahman Shaon, and Yao-Jan Wu, 2021. Application of Transfer Learning for Proactive Ramp Metering Performance Assessment (ITS Arizona 28th Annual Conference Best Paper Award).
  17. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2023. Eliminating the Impacts of Traffic Volume Variation on Before and After Studies: A Causal Inference Approach. Journal of Intelligent Transportation Systems, 1-15 (American Statistical Association TSIG Student Paper Award).
  18. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2020. Statistical evaluation of data requirement for ramp metering performance assessment. Transportation Research Part A: Policy and Practice, 141, pp.248-261.
  19. Xiaoling Luo, Xiaobo Ma, Matthew Munden, Yaojan Wu, and Yangsheng Jiang, 2022. A Multi-Source Data Approach for Estimating Vehicle Queue Length at Metered On-Ramps. Journal of transportation engineering, Part A: Systems, 148(2), p.04021117.
  20. Adrian Cottam, Xiaobo Ma, Xiaofeng Li, and Yao-jan Wu. Large-scale Freeway Traffic Volume Estimation using Crowdsourced Speed Data: A Case Study in Arizona (To be submitted).
  21. Adrian Cottam, Xiaobo Ma, Yong Ge, and Yao-jan Wu. Spatial Transferability of Volume Estimation Models: A Multi-Model Analysis with Spatial Embedding (To be submitted).
  22. Xiaobo Ma, Ran Dai, Hantao Wang, and Zhiyu Shou, 2017. Statistical analysis of ship ballast draft of general cargo ship. Ship & Ocean Engineering, 46(2), pp.66-68.
  23. Xiaobo Ma, Ran Dai, Zhiyu Shou, and Hantao Wang, 2017. Determining the bulk carrier’s ballast draft based on AIS data. Ship Science and Technology, 39(8), pp.51-54.
  24. Xiaobo Ma, Xuefei Liu, and Ran Dai, 2016. Optimized grey system prediction model on ship traffic flow of Chang-shan channel. Journal of Shanghai Maritime University, (2), pp.12-16.
  25. Xiaobo Ma, Dongwei Wang, and Ran Dai, 2016. Survey and analysis on status quo of the cultivation of navigation professional spirit in maritime universities. Ship & Ocean Engineering, 45(6), pp.131-134.
  26. Xiaobo Ma, Jie Zhang, and Ran Dai, 2016. Determining the tanker’s ballast draft based on AIS data. Ship & Ocean Engineering, 45(4), pp.64-66.
  27. Xiaobo Ma, Baisong Du, and Ran Dai, 2016. Design of a ship’s draft measuring ruler. Ship & Ocean Engineering, 45(3), pp.35-38 (Annual Outstanding Paper Award of China Institute of Navigation).
  28. Zhou Wang, Xiaobo Ma Weibing Wu, and Qin Zhang, 2016. Navigation safety analysis of Binhai LNG terminal project. China Water Transport, (10), pp.135-137.
  29. Zhiyu Shou, Xiaobo Ma, and Xiaowei Gao, 2016. Research on Ship Maneuvering of Yuedong LNG Terminal. China Water Transport, (11), pp.29-31.

Conference Papers

  1. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2023. Data-driven Transfer Learning Framework for Estimating On-ramp and Off-ramp Traffic Flows. 102nd Annual Meeting of the Transportation Research Board (TRB), Washington, DC. #23-02013.
  2. Xiaobo Ma, Adrian Cottam, Mohammad Razaur Rahman Shaon, and Yao-Jan Wu, 2021. Application of Transfer Learning for Proactive Ramp Metering Performance Assessment. ITS Arizona 28th Annual Conference, Mesa, AZ.
  3. Adrian Cottam, Xiaobo Ma, Xiaofeng Li, and Yao-Jan Wu, 2021. Large-scale Freeway Traffic Volume Estimation using Crowdsourced Speed Data: A Case Study in Arizona. 100th Annual Meeting of the Transportation Research Board (TRB), Washington, DC. #21-03258.
  4. Xiaoling Luo, Xiaobo Ma, Matthew Munden, Yao-Jan Wu, and Yangsheng Jiang, 2021. Queue Length Estimation for Metered On-Ramps: A Multi-Source Data Approach. 100th Annual Meeting of the Transportation Research Board (TRB), Washington, DC. #21-03497.
  5. Xiaobo Ma, Abolfazl Karimpour, and Yao-Jan Wu, 2020. Statistical Evaluation of Data Requirement for Ramp Metering Performance Assessment: A Case Study of SR-51, Arizona. 99th Annual Meeting of the Transportation Research Board (TRB), Washington, DC. #20-03641.
  6. Xiaobo Ma, Yao-Jan Wu, 2019. Online prediction of highway traffic flow based on an improved fixed grid wavelet network. Transportation & Communities Summit, Portland, OR.