一、基本情况

刘至真，男，1995.11，党员，博士，副教授，硕士研究生导师。理论研究主要集中在道路交通韧性分析与优化、智慧道路交通管理与控制方法等方面。主持国家自然科学基金青年项目、湖南省自然科学基金项目、湖南省教育厅科研项目等项目共4项，参与国家级项目2项。在Journal of Cleaner Production、Transportmetrica B-Transport Dynamics、Journal of Transport Geography、Accident Analysis & Prevention等期刊总共发表SCI、EI期刊论文24篇，授权专利5项。研究成果获得中国交通运输学会一等奖、湖南省交通工程学会科学技术奖科技团体奖特等奖各1项。

电子邮箱：zhizhenliu@csust.edu.cn

二、科研项目

本人主持科研项目情况如下：

（1）国家自然科学基金青年项目，在研，2024-2026；

（2）湖南省自然科学基金青C项目，在研，2026-2028；

（3）湖南省教育厅科研项目一般项目，结题，2023-2025；

（4）湖南省公路先进建养技术国际科技创新合作基地重点项目，结题，2023-2025。

三、科研成果

发表期刊论文24篇，授权专利5项。受邀成为《Journal of Cleaner Production》、《Reliability Engineering & System Safety》、《Physica A》等国内外知名期刊的审稿人，与国内外、校内外的交通规划、智能交通领域学者保持密切的学术合作和交流。发表主要论文如下：

（1）Liu Z, Chen H, Liu E, Zhang Q. Evaluating the dynamic resilience of the multi-mode public transit network for sustainable transport. Journal of Cleaner Production. 2022;348.

（2）Liu Z, Sun D, Chen H, Hao W, Wang Z, Tang F. Resilience-based post-disaster repair strategy for integrated public transit networks. Transportmetrica B-Transport Dynamics. 2024;12(1):1–25.

（3）Liu Z, Chen H, Liu E, Hu W. Exploring the resilience assessment framework of urban road network for sustainable cities. Physica a-Statistical Mechanics and Its Applications. 2022;586.

（4）Liu Z, Chen H. Short-Term Online Taxi-Hailing Demand Prediction Based on the Multimode Traffic Data in Metro Station Areas. Journal of Transportation Engineering Part a-Systems. 2022;148(6).

（5）Liu Z, Chen H, Li Y, Zhang Q. Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots. Journal of Advanced Transportation. 2020;2020.

（6）Liu Z, Chen H, Chen H, Sun X, Zhang Q. Trip Cost Estimation of Connected Autonomous Vehicle Mixed Traffic Flow in a Two-Route Traffic Network. Journal of Advanced Transportation. 2020;2020.

（7）Liu Z, Liu X, Li Q, Zhang Z, Gao C, Tang F. Strategies for Coordinated Merging of Vehicles at Ramps in New Hybrid Traffic Environments. Sustainability. 2025;17(10):4522.

（8）Liu Z, Wu Z, Tang F, Gao C, Chen H, Xiang W. Public Bicycle Dispatch Method Based on Spatiotemporal Characteristics of Borrowing and Returning Demands. Sustainability. 2024;16(10).

（9）Liu Z, Chen H, Sun X, Chen H. Data-Driven Real-Time Online Taxi-Hailing Demand Forecasting Based on Machine Learning Method. Applied Sciences-Basel. 2020;10(19).

（10）Li Q, Liu Z, Lan Y, Hangze L, Guanzhi X, and Zhang Y. Traffic signal coordinated control model for long arterial based on spatiotemporal characteristics. Transportation Letters. 2025:1–16.

（11）Zhang D, Ren P, Sun X, Liu Z, Chen H. Spatiotemporal dynamics in traffic carbon emissions: Integrating GTWR and XGBoost for built environment analysis. Journal of Transport Geography. 2025;129:104431.

（12）Li L, Zhou C, Huang J, Liu Z, Xie J, Tan Z. Car-following safety modeling and risk assessment of autonomous vehicle in icy and snowy weather. Accident Analysis & Prevention. 2025;214:107982.

（13）Wang Q, An K, Liu Z, Guan W. Suppression strategies in different propagation periods of cyberattacks in merging area under connected environment. Journal of Traffic and Transportation Engineering (English Edition). 2023;10(6):1148–1161.

四、总结

本人着重培养学生的科研与综合解决问题的能力，能全程指导学生进行科研学习。欢迎具有较浓学习兴趣，有一定交通及相关学科基础知识、数据处理基础知识的学生报考！