个人简介
教育背景与工作经历
2017/8-2020/12 美国北卡罗来纳大学夏洛特分校,交通工程,博士学位
2014/8-2017/7 美国德州南方大学,交通工程,硕士学位
2009/9-2012/7 中国石油大学（华东）, 测试计量技术及仪器, 硕士学位
2005/9-2009/7 西安电子科技大学, 电子信息工程,学士学位
科（教）研项目及成果
美国交通部项目
1. TrajectoryPrediction of CAVs Using Machine Learning Approach 2019/9-2020/9
2. Trajectory Optimization of CAVs at SignalizedIntersection 2018/9-2019/9
3. Impactof Connected and Autonomous Vehicles on Freeway Capacity 2017/9-2018/9
得克萨斯州交通部项目
1. Development of Systemic Large Truck SafetyAnalysis 2016/1-2017/4
2. Quantificationof the Impact of a Road's Condition on Emissions 2014/8-2016/8
会议报告
1.Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model. Transportation Research Board annual meeting, 2020.
2.Exploring the impact of connected and autonomous vehicles on freeway capacity using microscopic traffic simulation. COTA Young Professional Lighting Talk Session, 2020.
3.Exploring the impact of connected and autonomous vehicles on freeway capacity, Transportation Research Board annual meeting, 2019.
荣誉
2020 the Cyrus Painter Memorial Scholarship 美国交通工程师协会（ITE）
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. Liu, P., & Fan, W. (2019).Exploring Injury Severity in Head-on Crashes Using Latent ClassClustering Analysis and Mixed Logit Model: a Case Study of NorthCarolina, Accident Analysis and Prevention.（SSCI）
2. Liu,P., & Fan, W. (2021). Extreme Gradient Boosting (XGBoost)Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment,Promet – Traffic & Transportation (SCI )
3. Liu, P., & Fan, W. (2020).Analyzing injury severity of rear-end crashes involving large trucks using amixed logit model: A case study in North Carolina, Journal of TransportationSafety & Security.（SCI）
4. Liu, P., & Fan, W. (2020).Exploring the impact of connected and autonomous vehicles on freeway capacityusing a revised Intelligent Driver Model. Transportation planning andtechnology, 43(3), 279-292.（SCI）
5. Liu, P., & Fan, W.(2020). Exploring the Impact of Connected and AutonomousVehicles on Mobility and Environment at Signalized Intersections throughVehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V)Communications. Transportation Planning and Technology.(SCI )
6. Liu, P., & Fan, W. (2019). Modeling head-on crash severity withdrivers under the influence of alcohol or drugs (DUI) and non-DUI, Traffic InjuryPrevention.（SCI）
7. Liu, P., & Fan, W. (2019). Analysisof head-on crash injury severity using a partial proportional odds model,Journal of Transportation Safety & Security. （SCI）
8. Liu, P., & Fan, W. (2018).Modeling Head-On Crash Severity on NCDOT Freeways: A Mixed Logit ModelApproach, Canadian Journal of Civil Engineering.（SCI）
9. Song,L., Fan, W., and Liu, P., (2021) Exploring the effects ofconnected and automated vehicles at fixed and actuated signalized intersectionswith different market penetration rates. Transportation Planning and Technology. (SCI )
10. Song,L., Li, Y., Fan, W., and Liu, P.,(2021). Mixed logit approach to analyzing pedestrian injury severity in pedestrian-vehiclecrashes in North Carolina: considering time of day and day of week. Traffic Injury Prevention.（SCI）
11. Li, J., Liu, J., Liu, P., and Qi, Y.(2020). Analysis of factors contributing to the severity of large truckcrashes. Entropy, 22(11), 1191. (SCI )
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