Conference Papers & Presentations 

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2025

  • Ningzhe Xu, Javier Pena-Bastidas, Chenxuan Yang, Jun Liu, Tracy Hockstad, Steven Jones, 2025. How would Urban and Regional Air Mobility (URAM) Affect Our Relocation Decisions: A Machine Learning-Supported Path Analysis. TRBAM-25-04564. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Zihe Zhang, Ningzhe Xu, Jun Liu, Steven Jones, 2025. How Do University Students Perceive Shared Low-Speed Autonomous Vehicle Mobility Services on Campus: An Interpretable Machine Learning-Supported Path Analysis. TRBAM-25-05393. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Javier Pena-Bastidas, Jun Liu, Steven Jones, 2025. Spatial Order of Regional Travel Demand: A study of 486 Urbanized Areas in the United States. TRBAM-25-04569. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Zihe Zhang, Chenxuan Yang, Jun Liu, Steven Jones, 2025. Feasibility Assessment of a Multimodal Urban Air Mobility System in Small and Medium-Sized Urban Areas: Integrating Shared Autonomous Vehicles and Vertical Take-Off and Landing Aircraft. TRBAM-25-05167. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Ningzhe Xu, Jun Liu, Mizanur Rahman, Yangming Shi, Steven Jones, 2025. Exploring the Interplay between Trust in Human Drivers and Autonomous Vehicles: A Machine Learning-Supported Path Analysis. TRBAM-25-04553. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Xiao Zou, Jiayi Kong, Zihe Zhang, Jun Liu, Alex Hainen, Steven Jones, Asad Khattak, 2025. Segment-Level and Intersection-Level Driving Volatility Analysis Using Large-Scale Crowdsourced Vehicle Movement Data. TRBAM-25-02797. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Yanfang Su, Ningzhe Xu, Jun Liu, Steven Jones, 2025. The Role of Insurance in Nighttime Hit-and-Run Crashes: A Geo-Spatial Analysis. TRBAM-25-02795. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Ningzhe Xu, Yiming Xu, Jun Liu, Junfeng Jiao, 2025. How Do EV Crashes Differ from ICEV Crashes: A Comparative Study of Pennsylvania. TRBAM-25-00607. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Yanfang Su,Zihe Zhang, Jun Liu,Steven Jones, 2025. Exploring Spatial Variations in Factors Influencing Bicyclist Injury Severity in Traffic Crashes: A Spatial Machine Learning Approach. TRBAM-25-02793. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Javier Pena-Bastidas. Jun Liu, Hee Y. Lee, Steven Jones, 2025. The Role of Emerging Mobility Solutions in Shaping Care-Seeking Behaviors in Rural Communities: A National Survey with Stated Choice Experiment. TRBAM-25-02131. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Javier Pena-Bastidas, Ningzhe Xu, Jun Liu, Teng Wang, Steven Jones, Reg Souleyrette , 2025. Examining Spatial Disparities in Safety Benefits from Automated Vehicle Adoption in Alabama and Kentucky. TRBAM-25-04566   . Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Xiao Zou, Ningzhe Xu, Jun Liu, 2025. Examining the Spatially Varying Correlates of Police Injury Severity: A Study of Pennsylvania. TRBAM-25-02845. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Jiayi Kong, Xiao Zou, Jun Liu, Weike Lu, 2025. Move Over or Slow Down? A Simulation-Based Evaluation of the Safety Impact of Motorist Actions in Compliance with Move Over Laws. TRBAM-25-02136. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Ningzhe Xu, Jun Liu, Zihe Zhang, Steven Jones, 2025. How Do Motorists’ Pre-crash Behaviors Contribute to the Injury Severity of Police Officers? Using Interpretable Machine Learning to Untangle the Behavioral Pathways in Police-Involved Crashes. TRBAM-25-00712. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Ningzhe Xu, Jun Liu, Steven Jones, 2025. Who Need Public Transit to Evacuate? A National Household Survey Insight. TRBAM-25-00714. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Ziming Liu, Jiuyi Xu, Jun Liu, Yangming Shi, 2025. Enhancing Alternative Fuel Vehicle Emergency Response Through the Integration of Retrieval-Augmented Generation Enabled Large Language Model and Extended Reality. TRBAM-25-04759. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Zhe Li, Tianle Li, Weike Lu, Guojing Hu, Jun Liu, Yong Zhang, 2025. Modeling Drone-guided Evacuation in Subway Fire Scenario: Case Study In Lumu Station of Suzhou Subway. TRBAM-25-04284. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Sunday Okafor, Steven Jones, Cailis Bullard, Praveena Penmetsa, Emmanuel Adanu, Jun Liu, 2025. Integrating Connected Vehicle Hard Braking Event Data for Proactive Road Network Safety Screening. TRBAM-25-05230. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.
  • Olga Bredikhina, Justin Fisher, Trayce Hockstad, Praveena Penmetsa, Jun Liu, Steven Jones, 2025. Move-Over Laws and Incident Response Personnel Safety in the United States. TRBAM-25-02288. Presented at The Transportation Research Board 104th Annual Meeting, January 2025, Washington D.C.

2024

  • Jun Liu, Javier Pena-Bastidas, Zihe Zhang, and Steven Jones, 2024. Enabling Dynamic Ridesharing in Shared Autonomous Vehicle Fleets: A Study of 374 Small and Medium-Sized Urban Areas. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Jun Liu, Zihe Zhang, Javier Pena-Bastidas, and Steven Jones, 2024. Charging Infrastructure Assessment for Shared Autonomous Electric Vehicles in 374 Small and Medium-Sized Urban Areas: An Agent-Based Simulation Approach. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Yangming Shi, Ziming Liu, and Jun Liu, 2024. Preparing First Responders for Future Electrical Vehicle Emergencies Through Multimodality Virtual Reality Training Systems. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Ningzhe Xu, Jun Liu, Zihe Zhang, and Steven Jones , 2024. Injury Severity of Police Officers Involved in Traffic Crashes: A Spatial Analysis of Alabama. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Muhammad Sami Irfan, Mizanur Rahman, Abhay Lidbe, Jun Liu, Yangming Shi, and Sheila Black, 2024. Public Perception of Autonomous Vehicles and Different External Human Machine Interface Designs: Findings from a National Survey. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Chenxuan Yang, Jun Liu, Sophie Menner, Xinwu Qian, and Steven Jones, 2024. Examining the Impact of Urban Air Mobility on Small and Medium Urban Areas: Two Scenarios of Long-Distance Commuting and Emergency Transportation Accessibility. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Zihe Zhang, Chenxuan Yang, Jun Liu, Cong Chen, and Steven Jones, 2024. Revisiting the Roles of Speeds in Traffic Crashes: A Geographically Weighted Neural Network Approach. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Riffat Islam, Emmanuel Adanu, Jun Liu, and Steven Jones, 2024. The Potential of Using Shared Autonomous Vehicles in Evacuating Vulnerable Population During Tornado Early Warning: A Case Study of Tuscaloosa County, Alabama. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Javier Pena-Bastidas, Jun Liu, and Steven Jones, 2024. Relocating Road Space to Cyclist: Impacts on Motorized Traffic from the Automobile Driver Perspective in Bogotá, Colombia. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Rongshen Zhao, Jun Liu, Alexander Hainen, Asad Khattak, and Steven Jones, 2024. Mapping Location-Based Driving Volatility and Road Safety: A Study Using Large-Scale Crowdsourced Vehicle Movement Data. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Jeffery Bullard, Emmanuel Adanu, Jun Liu, William Agyemang, and Steven Jones, 2024. Investigating Pedestrian Groups and Injury Severities in Ghana: A Latent Class Analysis with Mixed Logit Approach. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.
  • Sunday Okafor, Abhay Lidbe, Emmanuel Adanu, Jun Liu, and Steven Jones, 2024. Assessing the Differences in Travel Burden Among Commuters in U.S. Metropolitan Areas. Presented at The Transportation Research Board 103rd Annual Meeting, January 2024, Washington D.C.

2023

  • Jun Liu, Xinwu Qian, Shuocheng Guo, Zihe Zhang, Chenxuan Yang, Steven Jones, 2023. Envisioning Shared Autonomous Vehicles for 374 Small and Medium-Sized Urban Areas in the United States: The Roles of Road Network and Regional Travel Demand – TRBAM-23-04292. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Zihe Zhang, Qifan Nie, Jun Liu, Xing Fu, Alex Hainen, Steven Jones, 2023. B723 – Real-Time Traffic Incident Detection on Freeways Using Crowdsourced Probe Vehicle Data: A Deep Learning Approach – TRBAM-23-04327. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Xing Fu, Weike Lu, Jun Liu, Alex Hainen, 2023. A Digital Twin Traffic Simulation Tool for Network-Wide, Real-Time Traffic Monitoring and Management – TRBAM-23-04288. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Cailis Bullard, Emmanuel Kofi Adanu, Jun Liu, Steven Jones, 2023. B656 – Crash Severity Analysis of Single-Vehicle Rollover Crashes in Namibia: A Mixed Logit with Heterogeneity in Means and Variances Approach – TRBAM-23-03732. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Jun Liu, Ningzhe Xu, Yangming Shi, Timothy Barnett, Steven Jones, 2023. B530 – Are First Responders Prepared for Electric Vehicle Fires?: A National Survey – TRBAM-23-04281. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Praveena Penmetsa, Chenxuan Yang Jun Liu, Timothy Barnett, Leon Villavicencio, Lindsay Arnold, 2023. B541 – Incident Response Personnel’s Compliance and Non-Compliance to Recommended Safety Countermeasures and Protocols – TRBAM-23-04406. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Chenxuan Yang, Jun Liu, Xiaobing Li, Timothy Barnett, 2023. B540 – Analysis of First Responder-Involved Traffic Incidents by Mining News Reports – TRBAM-23-04261. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Jun Liu, Chenxuan Yang, Alex Hainen, Timothy Barnett, Praveena Penmetsa, 2023. B542 – The Relationship Between Traffic Incident Responders Safety Experience and Countermeasure Adoption: A Machine Learning Study Based on the National Survey – TRBAM-23-04349. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Chenxuan Yang, Jun Liu, Sophie Menner, Xinwu Qian, Steven Jones, 2023. B650 – A Preliminary Look at the Impacts of Urban Air Mobility on Local Accessibility in 367 Small Urbanized Areas in the United States – TRBAM-23-04254. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Sophie Menner, Jun Liu, Chenxuan Yang, Steven Jones, 2023. A273 – Linking Ride-hailing Behaviors and Interest in Shared Autonomous Vehicles: A Machine Learning Supported Path Analysis on Travel Survey – TRBAM-23-04300. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Ningzhe Xu, Qifan Nie, Jun Liu, Steven Jones, 2023. A310 – Linking Short- and Long-Term Impacts of the COVID-19 Pandemic on Travel Behavior in Alabama: A Machine Learning Supported Path Analysis – TRBAM-23-04303. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Jun Liu, Ningzhe Xu, Yangming Shi, Mizanur Rahman, Timothy Barnett, Steven Jones, 2023. B560 – Do First Responders Trust Connected and Automated Vehicles?: A National Survey – TRBAM-23-04287. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Chenxuan Yang, Jun Liu, Cong Chen, Steven Jones, 2023. B686 – Revisiting the Roles of Speeds in Traffic Crashes: A Geospatial Modeling Study – TRBAM-23-04333. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Md Musfiqur Rahman Bhuiya, Jun Liu, Steven Jones, Qifan Nie, 2023. The Role of the Built Environment in Traffic Signal and Stop Sign Violation Crashes: A Hierarchical Modeling Approach – TRBAM-23-03072. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Sunday Okafor, Emmanuel Kofi Adanu, Jun Liu, Steven Jones, 2023. B680 – Behavioral Pathway Analysis of Pedestrian Injury Severity in Pedestrian Motor Vehicle Crashes – TRBAM-23-01415. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Md Musfiqur Rahman Bhuiya, Jun Liu, Md Musleh Uddin Hasan, Steven Jones, 2023. B541 – Factors Influencing Poor Accessibility of Persons with Disability in Bangladesh: Insights from Key Informant Interviews – TRBAM-23-03245. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Xiwen Lou, Guojing Hu, Jun Liu, Weike Lu, Wenjuan E, Qifan Nie, 2023. B607 – Quantifying the Network-Wide Traffic Efficiency Safety Relationship: A Case Study of Evaluating Mixed Urban Traffic Flows with Human-Driven and Connected and Automated Vehicles – TRBAM-23-01598. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Praveena Penmetsa, Chenxuan Yang, Jun Liu,, Timothy Barnett, Xiaobing Li, 2023. B675 – Incident Response Personnel and Countermeasures Adoption: Lessons Learned from Focus Group Interviews – TRBAM-23-02154. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.
  • Xing Fu, Jun Liu, Zhitong Huang, Alex Hainen, Asad Khattak, 2023. A262 – Long Short-Term Memory Based Lane Change Prediction Using Waymo Open Motion Data Set: The Role of Vehicle Operating Space – TRBAM-23-04322. Presented at The Transportation Research Board 102nd Annual Meeting, January 2023, Washington D.C.

2022

  • Sharareh Biglari, Zihe Zhang, Emmanuel (Kofi) Adanu, Jun Liu, Steven Jones, 2022. A Study of Developed SPFs for Signalized Intersections in Alabama Using Crash Types and Severity. ITE Annual Meeting, New Orleans, LA, August 2022.
  • Zihe Zhang, Jun Liu, 2022. A Shared Low-Speed Lightweight Autonomous Mobility System (SLLAM) for Short-Distance Trips: Simulating Mode Choice Decisions. ASCE International Conference on Transportation & Development, Seattle, WA, June 2022. The word was also presented in ITE Annual Meeting, New Orleans, LA, August 2022.  
  • Jun Liu, Xing Fu, Zihe Zhang, Chenxuan Yang, Qifan Nie, Steven Jones, 2022. Graph properties of road networks and vehicle miles traveled: A study of 486 urbanized areas in the United States – TRBAM-22-04143, Presented at The Transportation Research Board 101st Annual Meeting, 2022.
  • William Agyemang, Emmanuel Kofi Adanu, Jun Liu, Steven Jones, 2022. A Latent Class Analysis of Factors Associated with Injury Outcomes of Pedestrian Crashes on Inter-Urban Highways in Ghana – TRBAM-22-04196, Presented at The Transportation Research Board 101st Annual Meeting, 2022.
  • Weike Lu, Jun Liu, Xing Fu, Jidong Yang, Steven Jones, 2022. Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes – TRBAM-22-04126, Presented at The Transportation Research Board 101st Annual Meeting, 2022.
  • Chenxuan Yang, Jun Liu, Zihe Zhang, Steven Jones, 2022. Bored Driving and Crash Environments: A Machine Learning Approach – TRBAM-22-03887, Presented at The Transportation Research Board 101st Annual Meeting, 2022.  
  • Zihe Zhang, Qifan Nie, Jun Liu, Alex Hainen, Naima Islam, Chenxuan Yang, 2022. Machine Learning Based Real-Time Prediction of Freeway Crash Risk Using Crowdsourced Probe Vehicle Data – TRBAM-22-03905, Presented at The Transportation Research Board 101st Annual Meeting, 2022.
  • Xing Fu, Jun Liu, Steven Jones, Timothy Barnett, Asad J. Khattak, 2022. From the Past to the Future: Modeling the Temporal Instability of Safety Performance Functions – TRBAM-22-03922, Presented at The Transportation Research Board 101st Annual Meeting, 2022.
  • Xing Fu, Jun Liu, Alex Hainen, Steven Jones, Asad J. Khattak, 2022. A Deep Clustering Framework to Characterize Road Environments based on Street View Imagery – TRBAM-22-04042, Presented at The Transportation Research Board 101st Annual Meeting, 2022.

2021

  • Zihe Zhang, Jun Liu, Xiaobing Li, Asad J. Khattak, 2021. Do Larger Sample Sizes Increase the Reliability of Traffic Incident Duration Models? A Case Study of East Tennessee Incidents, TRBAM-21-02968 , Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Weike Lu, Jun Liu, Guojing Hu, Allen Parrish, Alexander Hainen , 2021. A Pure Linear Programming Approach to Estimate the Macroscopic Fundamental Diagrams of Urban Networks, TRBAM-21-03269, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xing Fu, Jun Liu, Alexander Hainen, Asad Khattak , 2021. Qualifying the Driving Environment Dynamics from the View of Autonomous Vehicles (AVs): Inspiration for Qualitatively Defining Operational Design Domains (ODDs), TRBAM-21-03001, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Jun Liu, Kara Kockelman, 2021.  Preparing Data For Microsimulation Of Smart Transport Systems: A Tool For Exploiting Existing Travel Model Results And Open-Source Data, TRBAM-21-01451, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xiaobing Li, Jun Liu, Qifan Nie, Xing Fu, Shashi Nambisan, Asad Khattak, 2021. The Role of Truckers’ Behaviors in Traffic Crashes: An Integrated Spatio-temporal Injury Severity Analysis, TRBAM-21-00399, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xiaobing Li, Jun Liu, Chenxuan Yang, Timothy Barnett, 2021. Context-based Crash Modification Factors for Medians on Rural Four-Lane Roadways: A Bayesian Approach, TRBAM-21-00190, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Zihe Zhang, Xiaobing Li, Jun Liu, Xing Fu, Chenxuan Yang, Steven Jones, 2021. Localized Safety Performance Functions for Rural 3-Leg Stop-Controlled Intersections in Alabama, TRBAM-21-03672, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xiaobing Li, Jun Liu, Zihe Zhang, Allen Parrish, 2021. A Spatiotemporal Analysis of Motorcyclist Injury Severity: Implications from 20 Years’ Traffic Crashes in Pennsylvania, TRBAM-21-00061, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Zihe Zhang, Jun Liu, Qifan Nie, Steven Jones, 2021. Tracking a Shared Low-Speed Light-Weight Autonomous Mobility (SLLAM) System on Continuous Pedestrian Access Routes: A case study in Tuscaloosa, Alabama, TRBAM-21-03649, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Qinglin Hu, Xiaobing Li, Jun Liu, 2021. A Low-Cost Approach to Identify Hazard Curvature for Local Road Networks Using Open-Source Data, TRBAM-21-00299, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xiaobing Li, Jun Liu   , 2021. Spatiotemporal Instability in Injury Severity Analysis of Red-light Running Crashes at Signalized Intersections, TRBAM-21-00151, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xiaobing Li, Praveena Penmetsa, Jun Liu, Alexander Hainen, Shashi Nambisan, 2021. Severity of Emergency Natural Gas Distribution Pipeline Incidents: Application of An Integrated Spatiotemporal Approach Fused with Text Mining, TRBAM-21-00097, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Qifan Nie, Zihe Zhang, Jun Liu, Steven Jones, 2021. Shared Autonomous Vehicles for Small Urban Areas: Agent-based Simulation, TRBAM-21-03607, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Xing Fu, Qifan Nie, Jun Liu, Steven Jones, 2021. How Do College Students Perceive Future Shared Mobility with Autonomous Vehicles? A Survey of The University of Alabama Students, TRBAM-21-02969, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Chenxuan Yang, Weike Lu, Jun Liu, Ismael Jones, 2021. Planning Airways for Urban Air Mobility in Small Cities: A Case Study of Tuscaloosa, Alabama, TRBAM-21-02971, Presented at The Transportation Research Board 100th Annual Meeting, 2021.
  • Weike Lu, Xiaobing Li, Jun Liu, Steven Jones, Allen Parrish, 2021. Survey of Surveys (SoS) – Mapping the Landscape of Travel-Related Surveys in COVID-19, TRBAM-21-03270, Presented at The Transportation Research Board 100th Annual Meeting, 2021.

2020

  • Fu, Xing, Nie, Qifan, Liu, Jun, Khattak, Asad, Hainen, Alexander Michael, Nambisan, Shashi, Constructing Spatiotemporal Driving Volatility Profiles for Connected and Automated Vehicles in Existing Highway Networks, The Second Bridging Transportation Researchers (BTR) Conference, 08/11-12, 2020. Online. 
  • ​Qifan Nie, Xing Fu, Xiaobing Li, Qinglin Hu, Jun Liu, Steven Jones, Relating Car Availability to Regional Walkability -A Hierarchical Investigation on National Databases, The Second Bridging Transportation Researchers (BTR) Conference, 08/11-12, 2020. Online. 
  • Fu, Xing, Nie, Qifan, Liu, Jun, Khattak, Asad, Hainen, Alexander Michael, Nambisan, Shashi, The Transportation Research Board 99th Annual Meeting, National Academies, Washington, D.C., 2020, “Constructing Spatiotemporal Driving Volatility Profiles for Connected and Automated Vehicles in Existing Highway Networks,” Transportation Research Board, Washington, DC, United States. (January 2020).
  • Lu, Weike, Liu, Jun, Mao, Jiannan, Hu, Guojing, Gao, Chuqiao, Liu, Lan, The Transportation Research Board 99th Annual Meeting, National Academies, Washington, D.C., 2020, “A Macroscopic Fundamental Diagram Approach to Evaluating Performance of Regional Traffic Controls,” Transportation Research Board, Washington, DC, United States. (January 2020).
  • Nie, Qifan, Fu, Xing, Li, Xiaobing, Liu, Jun, The Transportation Research Board 99th Annual Meeting, National Academies, Washington, D.C., 2020, “Are Uninsured Drivers Less Likely to Request Emergency Medical Services After a Crash?,” Transportation Research Board, Washington, DC, United States. (January 2020).
  • Adanu, Emmanuel, Liu, Jun, McNamara, Margaret, Penmetsa, Praveena, Lidbe, Abhay, Li, Xiaobing, Hainen, Alexander Michael, The Transportation Research Board 99th Annual Meeting, National Academies, Washington, D.C., 2020, “Has the Younger Population’s Vehicle Availability Changed Over the Years? – a Comparative Analysis of the Recent National Household Travel Surveys Transportation Research Board,” Transportation Research Board, Washington, DC, United States. (January 2020).
  • Li, Xiaobing, Liu, Jun, Khattak, Asad, Nambisan, Shashi, The Transportation Research Board 99th Annual Meeting, National Academies, Washington, D.C., 2020, “Sequential Prediction for Large-Scale Traffic Incident Duration: Application and Comparison of Survival Models,” Transportation Research Board, Washington, DC, United States. (January 2020).

2019

  • Nie, Qifan, Fu, Xing, Li, Xiaobing, Liu, Jun, The IRF Global R2T Conference, “Are Uninsured Drivers Less Likely to Request Emergency Medical Services After a Crash?,” International Road Federation, Las Vegas, NV. (November 2019).
  • Fu, Xing, Liu, Jun, Hainen, Alexander Michael, Khattak, Asad, The IRF Global R2T Conference, “Identifying Potential On-road Hazards in the Existing Transportation Network for Connected and Automated Vehicles Based on Spatiotemporal Driving Volatility,” International Road Federation, Las Vegas, NV. (November 2019).
  • Fu, Xing, Nie, Qifan, Li, Xiaobing, Liu, Jun, The IRF Global R2T Conference, “The Role of Built Environment in Emergency Medical Services Delays in Responding to Traffic Crashes,” International Road Federation, Las Vegas, NV. (November 2019).
  • Liu, Jun, Khattak, Asad, Li, Xiaobing, Fu, Xing, The IRF Global R2T Conference, “Who are the early adopters of alternative fuel and hybrid vehicles? Examining the spatially varying vehicle ownership across the United States,” International Road Federation, Las Vegas, NV. (November 2019).
  • Li, Xiaobing, Liu, Jun, Khattak, Asad, Nambisan, Shashi, The IRF Global R2T Conference, “Why Occupant Protection Systems Don’t Work in Multi-Fatality Traffic Crashes? A Study of Hierarchical Modeling,” International Road Federation, Las Vegas, NV. (November 2019).
  • Fu, Xing, Liu, Jun, Li, Xiaobing, Jones, Steven, Khattak, Asad, The International Conference on Sustainable Development, “A systems approach to understanding walkability and non-auto travel,” Sustainable Development Solutions Network, New York City, NY, United States. (September 2019).
  • Nie, Qifan, Fu, Xing, Liu, Jun, Li, Xiaobing, Jones, Steven L, The International Conference on Sustainable Development, “Relating Car Availability to Regional Walkability  – A Hierarchical Investigation on National Databases,” Sustainable Development Solutions Network, New York City, NY, United States. (September 2019).
  • Liu, Jun, Automated Vehicles Symposium, “Challenging Human Driver Taxis with Shared Autonomous Vehicles,” Association for Unmanned Vehicle Systems International, Orlando, FL, United States. (July 2019).
  • Nie, Qifan, Fu, Xing, Li, Xiaobing, Liu, Jun, Graettinger, Andrew J, Safe Systems Summit: Redefining Transportation Safety, “Are Uninsured Drivers Unlikely to Call Emergency Medical Services after Getting Injured in A Crash? A Comparative Study of Crashes with and without EMS Requests,” The Collaborative Sciences Center for Road Safety, Durham, NC, United States. (April 2019).
  • Fu, Xing, Nie, Qifan, Li, Xiaobing, Liu, Jun, Nambisan, Shashi Sathisan, Safe Systems Summit: Redefining Transportation Safety, “Understanding the Role of Built Environment in Delayed EMS Response during Traffic Crashes,” The Collaborative Sciences Center for Road Safety, Durham, NC, United States. (April 2019).
  • Liu, J., A. Heinen & S. Nambisan. Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach. TRB Paper # 19-01140. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019.
  • Liu, J. & S. Jones. Challenging Human Driver Taxis with Shared Autonomous Vehicles: A Case Study of Chicago. TRB Paper # 19-00752. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019. 
  • Liu, J. & S. Jones. Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors, pre-crash actions, to injury severities. TRB Paper # 19-00598. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019. 
  • Liu, J. & A. Khattak. An Integrated Spatio-Temporal Approach to Examine the Consequences of Driving under the Influence (DUI) in Crashes. TRB Paper # 19-00935. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019.
  • Liu, J., A. Khattak, J. Ma, & Z. Ling. Examining non-stationary correlates of bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data. TRB Paper # 19-01147. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019.
  • Yang, H., G. Zai & J. Liu. Is the front passenger seat always the “death seat”? An application of hierarchical ordered probit model for occupant injury severity. TRB Paper # 19-00944. Presented at The Transportation Research Board 98th Annual Meeting, National Academies, Washington, D.C., 2019.

​​2018​

  • Liu, J. & S. Jones. Challenging Human Driver Taxis with Shared Autonomous Vehicles: A Case Study of Chicago. Presented in The IRF Global R2T Conference in Las Vegas, NV, November 2018.
  • Liu, J. & S. Jones. Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors, pre-crash actions, to injury severities. Presented in The IRF Global R2T Conference in Las Vegas, NV, November 2018.
  • Liu, J. & A. Khattak. Mapping Location-Based Driving Volatility for Connected and Automated Vehicles. TRB Paper # 18-00825. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.
  • Wali, B., A. Khattak, D. Greene & J. Liu. Fuel Economy Gaps Within & Across Garages: Exploring Variations and Heterogeneity. TRB Paper # 18-00063. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.
  • Liu, J. A. Khattak, C. Chen, D. Wan, J. Ma & J. Hu. Revisiting Hit-and-Run Crashes: A Geo-spatial Method. TRB Paper # 18-03009. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018. 
  • Wali, B., A. Khattak, D. Greene & J. Liu. Analyzing within Garage Fuel Economy Gaps to Support Vehicle Purchasing Decisions – A Copula Based Approach. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.
  • Wan, D., C. Kamga & J. Liu. Bicyclist-involved Crashes on Roadway Segments in New York City: A Spatial Analysis of Injury Severity. TRB Paper # 18-02980. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.
  • Zhang, X., J. Ma, B. Smith & J. Liu. Operational Performance Evaluation of the Managed Lane Strategy for Early Deployment of Cooperative Adaptive Cruise Control. TRB Paper # 18-06287. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.
  • Wan, D., C. Kamga & J. Liu. Injury Severity of Bicyclist-Involved Crashes at Intersections: A Comparative Study in New York City. TRB Paper # 18-02988. Presented at The Transportation Research Board 97th Annual Meeting, National Academies, Washington, D.C., 2018.

2017

  • Liu, J. Webinar: Simulations of Shared Autonomous Vehicles using MATSim. Ford Motor Company. November, 2017. 
  • Liu, J., A. Khattak & B. Wali. Do Safety Performance Functions Vary Across Space? Application of Geographically Weighted Regressions. TRB paper # 17-00237. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017.
  • Liu, J., K. Kockelman, P. Boesch & F. Ciari. Tracking a System of Shared Autonomous Vehicles across the Austin, Texas Network using Agent-Based Simulation. TRB paper # 17-00469. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016.
  • Khattak, A., B. Wali & J. Liu. A Note on Heterogeneity Assessment of Incident Durations: Comparison of Random Parameter and Quantile Regressions. TRB paper # 17-00236. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Liu, J., K. Kockelman & A. Nichols. Anticipating the Emissions Impacts of Smoother Driving by Connected and Autonomous Vehicles, Using the MOVES Model. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Boakye, K., A. Khattak, J. Liu & S. Nambisan. How Smartphone and Non-Smartphone Users Access and Use Traveler Information Systems. TRB paper # 17-00698. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Zhang, M., A. Khattak, J. Liu & D. Clarke. A Comparative Study of Rail-Pedestrian and Bicyclist Trespassing Crash Injury Severity at Highway-Rail Grade Crossings and Non-Crossings. TRB paper # 17-00252. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Liu, J, A. Khattak & S. Richards. Geo-Spatial Modeling of Motorist Gate-violation Behaviors at Highway-Rail Grade Crossings. TRB paper # 17-02623. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Rios-Torres, J., J. Liu & A. Khattak, Personal Fuel Economy in Conventional and Hybrid Electric Vehicles: Integrating Driving Cycle Predictions with Power Distribution Optimization. TRB paper # 17-04692. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017. 
  • Loeb, B., K. Kockelman & J. Liu. Shared Autonomous Electric Vehicle (SAEV) Operations across the Austin, Texas Network with a Focus on Charging Infrastructure Decisions, TRB paper # 17-01151. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2017.

2016

  • ​Liu, J. The Roles of Big Data and Connected & Automated Vehicles in Transportation Systems. Chang’an University, Xi’an, China, December, 2016. 
  • Liu, J. Connected & Automated Vehicles in Smart Transportation Systems. Huazhong University of Science & Technology, Wuhan, China, December, 2016.  
  • Liu, J. Driving Volatility in Instantaneous Driving Behaviors: A Research Framework for Large-scale Vehicular Trajectory Data. Department of Civil & Environmental Engineering, Mississippi State University. March, 2016.
  • Liu, J., K. Kockelman, P. Boesch & F. Ciari. Tracking a System of Shared Autonomous Vehicles across the Austin, Texas Network using Agent-Based Simulation. Presented at 2016 Automated Vehicles Symposium, San Francisco, CA, July 19-21, 2016.
  • Liu, J., K. Kockelman & A. Nichols. Anticipating the Emissions Impacts of Autonomous Vehicles Using the MOVES Model. Presented at 2016 Automated Vehicles Symposium, San Francisco, CA, July 19-21, 2016.
  • Khattak, A., B. Wali & J. Liu, Analysis of Incidents Durations: Estimation of Random Parameter and Quantile Regressions. Presented at 23rd Intelligent Transportation Systems World Congress, Melbourne, Australia, October 10 ~14, 2016. 
  • Liu, J., A. Khattak & M. Zhang. What Role do Pre-crash Driver Actions Play in Work Zone Crashes? Untangling Hierarchies in Crash Data, TRB paper # 16-1586. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016.
  • Liu, J. & A. Khattak. Delivering Improved Alerts, Warnings, and Control Assistance Using Basic Safety Messages Transmitted between Connected Vehicles, TRB paper # 16-0195. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016. 
  • Liu, J., A. Khattak & M. Zhang. Structuring and Integrating Data in Metropolitan Regions to Explore Multi-Level Links between Driving Volatility and Correlates, TRB paper # 16-0194. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016. 
  • Greene, D., J. Liu & A. Khattak*. How does On-Road Fuel Economy Vary with Vehicle Cumulative Mileage and Daily Use? TRB paper # 16-1586. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016. 
  • Khattak, A., J. Liu, X. Li & M. Ng. Modeling Traffic Incident Duration Using Quantile Regression, TRB paper # 16-4235. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016. 
  • Greene, D., A. Khattak, J. Liu, X. Wang, J. Hopson & R. Goeltz. Is there Evidence for a Gap between On-Road and Test Cycle Fuel Economy? TRB paper # 16-1579. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016. 
  • Wan, D., C. Kamga, J. Liu, A. Sugiura & E. Beaton. A Comparative Study of Passenger Satisfaction with Bus Rapid Transit with and without Awareness of Travel Information, TRB paper # 16-2895. Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2016.

​
2015

  • ​Liu, J. & A. Khattak. Improved warning and assistance information from connected vehicle basic safety messages, Accepted for presentation at 2015 Intelligent Transportation Systems World Congress, Bordeaux, France, 2015.
  • Liu, J., A. Khattak & S. Richards. What Are the Consequences of Drivers Trespassing Highway-Rail Grade Crossings Equipped with Gates? A Spatial Approach Integrated with Path Analysis, Accepted for presentation at 2015 Road Safety & Simulation International Conference, Orlando, FL, 2015. 
  • Liu, J., A. Khattak & S. Richards. How Safe Are Narrow Lanes? Applications of Safety Models, Accepted for presentation at 2015 Road Safety & Simulation International Conference, Orlando, FL, 2015. 
  • Liu, J., A. Khattak & M. Zhang, Exploring Links between Naturalistic Driving Behaviors and Various Factors in Hierarchies: A Study Integrating Multiple Data Sources, Accepted for presentation at 2015 Road Safety & Simulation International Conference, Orlando, FL, 2015.
  • Zhang, M., A. Khattak, J. Liu & D. Clarke, The Role of Rail-Trespassing Crashes at Highway-Rail Grade Crossings and Non-crossing Tracks? A Comparative Study on Injury Severity, Accepted for presentation at 2015 Road Safety & Simulation International Conference, Orlando, FL, 2015.
  • Liu, J. The Role of Pre-crash Driver Actions in Work Zone Crashes. Transportation Seminar Series at the University of Tennessee, Knoxville, TN, November, 2015. 
  • Liu, J. Customizing Driving Cycles for Fuel Economy Estimation. The Tennessee Section Institute of Transportation Engineers 2015 Summer Meeting, Gatlinburg, TN, July, 2015
  • Liu. J. Data Analytics for Connected Vehicle Data. Southeastern Smart Mobility Consortium at the University of Tennessee, Knoxville, TN, April, 2015. 
  • Liu, J., A. Khattak & L. Han. How Much Information is Lost When Sampling Driving Behavior Data? Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.
  • Wang, X.(equally contributed) , J. Liu (equally contributed) & A. Khattak*. Generating Fuel Economy Information to Support Cost Effective Vehicle Choices: Comparing Standard and Customized Driving Cycles, Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.
  • Khattak, A., J. Liu & X. Wang. Supporting Instantaneous Driving Decisions through Trajectory Data, To be presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.
  • Liu, J., A. Khattak & X. Wang. Creating Indices for How People Drive in a Region: A Comparative Study of Driving Performance, Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.
  • Liu, J., A. Khattak, S. Richards & S. Nambisan. What are the Differences in Driver Injury Outcomes at Highway-Rail Grade Crossings? The Role of Passive and Active Controls, Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.
  • Wang, X., A. Khattak, J. Liu, & D. Clarke. Non-crossing Rail-Trespassing Crashes in the Past Decade: A Spatial Approach to Analysis of Injury Severity, Presented at the Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2015.

2014

  • Liu, J., X. Wang & A. Khattak. Generating Real-Time Volatility Information, Presented at 2014 Intelligent Transportation Systems World Congress, Detroit, MI, 2014 ​
  • Liu, J. A Micro-Measure for Automobile Driving Volatility, Presented at the Tennessee Section Institute of Transportation Engineers 2014 Summer Meeting, Gatlinburg, TN, 2014
  • Bartnick B., J. Liu, S. Richards, & A. Khattak. Driver behavior at railway-highway grade crossings with passive traffic controls: A driving simulator study, TRB paper # 14-2110. Presented at 2014 Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2014. 
  • Liu, J., B. Bartnick, S. Richards, & A. Khattak. How are driver characteristics related to safety at railroad-crossings? The case of passive railroad grade crossings, TRB paper # 14-4413. Presented at 2014 Transportation Research Board Annual Meeting, National Academies, Washington, D.C., 2014.
  • Wang, X., A. Khattak, G. Amoli, S. Son, & J. Liu, What is the Level of Volatility in Instantaneous Driving Decisions? TRB paper # 14-2780, Presented at the Transportation Research Board, National Academies, Washington, D.C., 2014.
  • Liu, J. A Micro-Measure for Automobile Driving Volatility. The Tennessee Section Institute of Transportation Engineers 2014 Summer Meeting, Gatlinburg, TN, July, 2014.