姓    名：鹿琼 职    称：讲师 电子邮件：qiong.lu@xju.edu.cn

个人简历：

鹿琼，男，汉族，中共党员，从事智慧交通仿真，在自动驾驶车辆仿真，车辆路径优化问题等方面的研究工作

研究方向：

智慧交通仿真，自动驾驶车辆仿真，车辆路径选择问题

近五年学术成果：

以第一或通讯作者身份发表学术论文8篇，其中SCI/EI收录6篇，发明专利2项，部分研究成果如下：

[1] Q. Lu, T. Tettamanti, D. Hörcher, and I. Varga. The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation. Transportation Letters, 12(8):540–549, 2019

[2] Q. Lu and T. Tettamanti. Impacts of connected and automated vehicles on freeway with increased speed limit. International Journal of Simulation Modelling (IJSIMM), 20(3):453–464, 2021.

[3]Q. Lu and T. Tettamanti. Traffic control scheme for social optimum traffic assignment with dynamic route pricing for automated vehicles. Periodica Polytechnica ser. Transportation Engineering, 49(3):301–307, 2021.

[4]M.T. Horváth, Q. Lu, T. Tettamanti, Á. Török, and Zs. Szalay. Vehicle-In-The-Loop (VIL) and Scenario-In-The-Loop (SCIL) automotive simulation concepts from the perspectives of traffic simulation and traffic control. Transport and Telecommunication Journal, 2(20):153–161, 2019.

[5] Q. Lu, A. Tesone, and L. Pariota. Impacts of Connected Automated Vehicles on Large Urban Road Network. In Proceedings of 9th International Conference on Vehicle Technology and Intelligent Transport Systems, pages 378-385, 2023.

学术著作：

T. Tettamanti and Q. Lu. Lecture Notes on Control Theory. Akadémiai Kiadó, 2019. DOI: 10.1556/9789634543367. URL: https://mersz.hu/tamas-qiong-lecture-notes-on-control-theory

国内外学术兼职：

担任IET Intelligent Transport System、IEEE Access等期刊审稿人。