Photo of Xianbiao (XB) Hu

Xianbiao (XB) Hu

Assistant Professor

Affiliation(s):

  • Civil and Environmental Engineering
  • Larson Transportation Institute

221B Sackett Building

xbhu@psu.edu

814-863-0523

Research Website

Research Areas:

Transportation Engineering

Interest Areas:

Smart Mobility Systems: Connected and Automated Vehicles, Electric Vehicles, Mobility Behavior Management; Transportation Big Data Analytics; Traffic Flow and System Modeling

 
 

 

Education

Publications

Journal Articles

  • Chenxi Chen, Xianbiao Hu, Yang Li and Qing Tang, 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
  • Chenxi Chen, Qing Tang, Xianbiao Hu and Zhitong Huang, 2023, "Infrastructure Sensor-based Cooperative Perception for Early Stage Connected and Automated Vehicle Deploymenthttps://doi.org/10.1080/15472450.2023.2257596", Journal of Intelligent Transportation Systems Technology Planning and Operations
  • Yang Song and Xianbiao Hu, 2023, "Learning-Based Demand-Supply-Coupled Charging Station Location Problem for Electric Vehicle Demand Management", Transportation Research Part D: Transport and Environment, 125, pp. 103975
  • Qing Tang, Xianbiao Hu and Ruwen Qin, 2022, "Development of Operation Guidelines for Leader--Follower Autonomous Maintenance Vehicles at Work Zone Locations", Transportation Research Record, 2676, (3), pp. 696–711
  • Qing Tang, Xianbiao Hu and Hong Yang, 2022, "Identification of Operational Design Domain for Autonomous Truck Mounted Attenuator System on Multilane Highways", Transportation Research Record, 2676, (12), pp. 1-15
  • Qing Tang and Xianbiao Hu, 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, pp. 1--14
  • Yang Song, Yizhuang David Wang, Xianbiao Hu and Jenny Liu, 2022, "An efficient and explainable ensemble learning model for asphalt pavement condition prediction based on LTPP dataset", IEEE Transactions on Intelligent Transportation Systems, 23, (11), pp. 22084--22093
  • Yang Song, Xianbiao Hu, Jiawei Lu and Xuesong Zhou, 2022, "Analytical approximation and calibration of roundabout capacity: A merging state transition-based modeling approach", Transportation Research Part B: Methodological, 163, pp. 232-257
  • Hongsheng Qi, Chenxi Chen, Xianbiao Hu and Jiahao Zhang, 2022, "Online inference of lane changing events for connected and automated vehicle applications with analytical logistic diffusion stochastic differential equation", Transportation Research Part C: Emerging Technologies, 144, pp. 103874
  • Yanqiu Cheng, Xianbiao Hu, Kuanmin Chen, Xinlian Yu and Yulong Luo, 2022, "Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach", Journal of Intelligent Transportation Systems, pp. 1--15
  • Yang Song and Xianbiao Hu, 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, 27, (2), pp. 238-256
  • Qing Tang, Yanqiu Cheng, Xianbiao Hu, Chenxi Chen, Yang Song and Ruwen Qin, 2021, "Evaluation Methodology of Leader-Follower Autonomous Vehicle System for Work Zone Maintenance", Transportation Research Record, 2675, (5), pp. 107-119
  • Qingyu Ma, Hong Yang, Yifang Ma, Di Yang, Xianbiao Hu and Kun Xie, 2021, "Examining municipal guidelines for users of shared E-Scooters in the United States", Transportation research part D: transport and environment, 92, pp. 102710
  • Qing Tang, Xianbiao Hu, Jiawei Lu and Xuesong Zhou, 2021, "Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem", Transportation Research Part B: Methodological, 148, pp. 106-131
  • Yang Li, Dasen Yang and Xianbiao Hu, 2020, "A differential privacy-based privacy-preserving data publishing algorithm for transit smart card data", Transportation Research Part C: Emerging Technologies, 115, pp. 102634
  • Yanqiu Cheng, Xianbiao Hu, Qing Tang, Hongsheng Qi and Hong Yang, 2020, "Monte Carlo tree search-based mixed traffic flow control algorithm for arterial intersections", Transportation research record, 2674, (8), pp. 167--178
  • Hongsheng Qi, Rumeng Dai, Qing Tang and Xianbiao Hu, 2020, "Quasi-real time estimation of turning movement spillover events based on partial connected vehicle data", Transportation Research Part C: Emerging Technologies, 120, pp. 102824
  • Xianbiao Hu, Xiaoyu Zhu, Yi-Chang Chiu and Qing Tang, 2020, "Will information and incentive affect traveler’s day-to-day departure time decisions?—An empirical study of decision making evolution process", International Journal of Sustainable Transportation, 14, (6), pp. 403--412
  • Xinlian Yu, Song Gao, Xianbiao Hu and Hyoshin Park, 2019, "A Markov decision process approach to vacant taxi routing with e-hailing", Transportation Research Part B: Methodological, 121, pp. 114--134
  • Xianbiao Hu, Yifei Yuan, Xiaoyu Zhu, Hong Yang and Kun Xie, 2019, "Behavioral responses to pre-planned road capacity reduction based on smartphone GPS trajectory data: A functional data analysis approach", Journal of Intelligent Transportation Systems, 23, (2), pp. 133--143
  • Hongsheng Qi and Xianbiao Hu, 2019, "Monte Carlo Tree Search-based intersection signal optimization model with channelized section spillover", Transportation Research Part C: Emerging Technologies, 106, pp. 281--302
  • Hongsheng Qi and Xianbiao Hu, 2018, "Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling", Transportation research part C: emerging technologies, 97, pp. 478--498
  • Yu-Luen Ma, Xiaoyu Zhu, Xianbiao Hu and Yi-Chang Chiu, 2018, "The use of context-sensitive insurance telematics data in auto insurance rate making", Transportation Research Part A: Policy and Practice, 113, pp. 243--258
  • Xiaoyu Zhu, Yifei Yuan, Xianbiao Hu, Yi-Chang Chiu and Yu-Luen Ma, 2017, "A Bayesian Network model for contextual versus non-contextual driving behavior assessment", Transportation research part C: emerging technologies, 81, pp. 172--187
  • Kang An, Yi-Chang Chiu, Xianbiao Hu and Xiaohong Chen, 2017, "A network partitioning algorithmic approach for macroscopic fundamental diagram-based hierarchical traffic network management", IEEE Transactions on Intelligent Transportation Systems, 19, (4), pp. 1130--1139
  • Xianbiao Hu, Yi-Chang Chiu, Jorge A Villalobos and Eric Nava, 2017, "A Sequential Decomposition Framework and Method for Calibrating Dynamic Origin-Destination Demand in a Congested Network", IEEE Transactions on Intelligent Transportation Systems, 18, (10), pp. 2790--2797
  • Xianbiao Hu, Yi-Chang Chiu and Jeff Shelton, 2017, "Development of a behaviorally induced system optimal travel demand management system", Journal of Intelligent Transportation Systems, 21, (1), pp. 12--25
  • Xianbiao Hu, Yi-Chang Chiu and Lei Zhu, 2015, "Behavior Insights for an Incentive-Based Active Demand Management Platform", International Journal of Transportation Science and Technology, 4, (2), pp. 119--133
  • Xianbiao Hu, Song Gao, Dung-Ying Lin and Yi-Chang Chiu, 2012, "Modeling Routing Behavior for Vacant Taxicabs in Urban Traffic Networks", Transportation Research Record: Journal of the Transportation Research Board, 2284, (1), pp. 81-88
  • Chenxi Chen, Yang Song, Yizhuang Wang, Xianbiao Hu and Jenny Liu, , "A Machine Learning-Based Approach to Assess Impacts of Autonomous Vehicles on Pavement Roughness", Philosophical Transactions of the Royal Society A
  • Hongsheng Qi and Xianbiao Hu, , "Behavioral Investigation of Stochastic Lateral Wandering Patterns in Mixed Traffic Flow", Transportation Research Part C: Emerging Technologies

Conference Proceedings

Other

Research Projects

  • December 2022 - January 2025, "Medium and Heavy-Duty-Zero-Emission Vehicle Program Data Collection and Analytics: Planning Phase," (Sponsor: COP: Department of Environmental Protection).
  • August 2023 - July 2025, "Zero-Emission Fleet Implementation Environmental Sustainability Fund Proposal," (Sponsor: PSU Student Fee Board).
  • June 2022 - December 2022, "Field Evaluation of Autonomous Truck Mounted Attenuator Vehicles Live Work Zone Operations," (Sponsor: Micro Systems, Inc).
  •  2020 -  2022, "Development of ATMA/AIPV Deployment Guidelines Considering Traffic and Safety Impacts," (Sponsor: Colorado Department of Transportation).
  •  2021 -  2022, "Systematic Documentation for Autonomous Maintenance Technology Promotion and Deployment," (Sponsor: Colorado Department of Transportation).
  •  2018 -  2022, "Missouri DOT Leader-Follower TMA System," (Sponsor: Missouri DOT (Subcontract to Kratos Defense)).
  •  2021 -  2022, "Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones," (Sponsor: US Department of Transportation through Mid-America Transportation Center).
  •  2021 -  2022, "Transportation Safety Training in Rural Areas: An Exploration of Virtual Reality and Driving Simulation in Driver Response and Awareness," (Sponsor: US Department of Transportation through Mid-America Transportation Center).
  •  2020 -  2022, "Development of ATMA/AIPV Deployment Guidelines Considering Traffic and Safety Impacts," (Sponsor: US Department of Transportation through Mid-America Transportation Center).
  •  2020 -  2021, "Inspecting and Preserving Infrastructure through Robotic Exploration (INSPIRE) – a Tier-1 University Transportation Center," (Sponsor: USDOT).
  •  2018 -  2021, "GAANN: Preparing Interdisciplinary Professionals for Rebuilding/Engineering Resilient Infrastructure of the Nation," (Sponsor: Department of Education).
  •  2018 -  2018, "Evaluation of Route 160 Widening Project: A Before-and-After Study with Driving Simulator," (Sponsor: Crawford, Murphy & Tilly).
  •  2013 -  2017, "Pay-As-You-Drive-And-You-Save (PAYDAYS) Insurance Actuarial Study," (Sponsor: Federal Highway Administration).

Honors and Awards

  • Outstanding Reviewer, ASCE Journal of Transportation Engineering, Part A: Systems, January 2023 - January 2023
  • Outstanding Reviewer, Transportation Research Part D: Transport and Environment, January 2022 - December 2022
  • Excellent Associate Editor, International Journal of Transportation Science and Technology, 2021
  • Joseph H. Senne Jr. Academy of Civil Engineers Faculty Scholarly Achievement Award, Missouri S&T, 2020
  • Outstanding Teaching Award, Missouri S&T, 2020
  • University of Missouri System Teaching Scholar, University of Missouri System, 2020
  • Excellence in Civil Engineering Education (ExCEEd) Fellowship, ASCE, 2019
  • Excellent Paper Award, 2018 World Transport Convention, 2018
  • Provost’s eFellow, Missouri University of Science and Technology, 2018

Service

Service to Penn State:

  • Assistance to Student Organizations, Faculty Advisor, Faculty advisor, Engineering Graduate Student Council (EGSC), 2023

Service to External Organizations:

  • Service to Governmental Agencies, Representative, Penn State Representative, Smart Belt Coalition, 2023
  • Service to Public and Private Organizations, Representative, Member, Centre Region Climate Action and Adaptation Plan (CAAP) Implementation Technical Advisory Group (TAG), 2023
  • Participation in or Service to Professional and Learned Societies, Coordinator, Committee Research Coordinator, TRB Committees of Maintenance and Preservation (AKR10), 2021
  • Participation in or Service to Professional and Learned Societies, Committee Member, Standing committee member, TRB Committee on the Impacts of Information and Communication Technologies (ICT) on Travel Choices (AEP35), 2012 - 2022
 


 

About

The Thomas D. Larson Pennsylvania Transportation Institute is Penn State’s transportation research center. Since its founding in 1968, the Larson Institute has maintained a threefold mission of research, education, and service. The Institute brings together top faculty, world-class facilities and enterprising students from across the University in partnership with public and private stakeholders to address critical transportation-related problems.

Thomas D. Larson Pennsylvania Transportation Institute

201 Transportation Research Building

The Pennsylvania State University

University Park, PA 16802-4710

Email: rdb28@psu.edu