徐志刚 - 长安大学 - 信息工程学院

个人简介

徐志刚,长安大学信息工程学院教授,车联网教育部-中国移动联合实验室副主任，中国车联网与智能汽车测试技术创新联盟秘书长，世界交通运输大会（World Transport Convention，WTC）车联网委员会主席，IEEE Member。先后在长安大学获得自动控制本科学位,交通信息工程及控制硕士、博士学位,2015年作为国家留学基金委访问学者在美国加州大学戴维斯分校进修1年。教育背景长安大学自动控制专业学士学位（2002）长安大学交通信息工程及控制硕士学位（2005）（导师赵祥模教授）长安大学交通信息工程及控制博士学位（2012）（导师赵祥模教授）陕西重型汽车集团博士后（2014）（合作导师王小峰教授级高工）美国加州大学戴维斯分校访问学者（2015）（合作导师 H. Michael Zhang 教授）

研究领域

1.车联网与无人车理论与技术 2.交通图像处理 3.自动驾驶人因工程

近期论文

查看导师最新文章（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）

Li, X*., Ghiasi, A., Xu, Z., Qu, X*.(2018) . A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B: Methodological，118（12）, pp. 429-456 Z. Xu，Y. Wang，G. Wang， X. Li*，X. Zhao， Q. Yuan，and Y. An， “Trajectory optimization for a connected automated traffic stream: Comparison between exact model and fast heuristics,” IEEE Trans. Intell. Tranportation Syst., 2018.（Under Review，通信作者) R. Wang，Z. Xu*，X. Zhao，and J. Hu，A V2V-based Method for the Detection of Road Traffic Congestion，IET Intelligent Transportation Systems，（In-Press，通信作者) X. Zhao, H. Min, Z. Xu*, and W. Wang, “A New Video-based Vehicle Ego-positioning Method and Its Application on Indoor Parking Guidance,” Transp. Res. Part C Emerg. Technol., pp. 1–23, 2018.（Accepted，通信作者) X. Zhao, P. Sun, Z. Xu*, H. Min, Z. Wang, and Y. An, “A Fast and Robust Object Detection and Identification Method by Fusing 3D LIDAR and Camera Sensors,” IEEE Trans. Intell. Tranportation Syst., 2018.（Accepted，通信作者，JCR 一区,IF=4.051) X. Zhao, X. Li, Z. Xu*, & T. Chen.(2018). “An Optimal Game Approach for Heterogeneous Vehicular Network Selection with Varying Network Performance,” IEEE Intell. Trasnsportation Syst. Magzine, no. C, pp. 1–12, 2018.( SCI收录,JCR 二区，通信作者) Liu, P*., & Xu, Z*. (2018). Towards self-driving vehicles on public roads: Structure and change of public attitudes, Risk Analysis.（Under Review，通信作者) Liu, P.*, Guo, Q.R., Wang, L., Xu, Z.* Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transportation Research Part C: Emerging Technologies.（Accepted,JCR 一区,IF=3.964） Liu, P.*, Du, Y., Xu, Z. Machines versus humans: People’s biased responses to traffic accidents involving self-driving vehicles. Accident Analysis & Prevention.（Accepted,JCR 二区,IF=2.584） Liu, P*., Xu, Z*., & Zhao, X. (2018).Public attitude toward self-driving vehicles on roads: Attitude structure and change Transportation research-Part A, （Accepted，通信作者，JCR 一区,IF=3.026 ) Xu, Z., Zhang, K., Min, H., Wang, Z., Zhao, X., & Liu, P*. (2018). What drives people to accept autonomous vehicles? Findings from a field experiment. Transportation research-Part C, Emerging Technology，95（10）,2018,320-334（SCI收录,JCR 一区,IF=3.964) Xu, Z., Wei, T., Easa, S., Zhao, X., & Qu, X*. (2018). Modelling Relationship between Truck Fuel Consumption and Driving Behavior Using Data from Internet of Vehicles. International Journal of Computer-Aid Civil and Infrastructure Engineering, 2018，1，1–15.( SCI收录,JCR 一区,IF=5.786) Xu, Z., Li, X., Zhao, X., Zhang, M. H., & Wang, Z. (2017). DSRC versus 4G-LTE for Connected Vehicle Applications : A Study on Field Experiments of Vehicular Communication Performance. Journal of Advanced Transportation, 2017,1-10.https://doi.org/10.1155/2017/2750452(SCI收录, JCR 二区,IF=1.813) Xu, Z., Wang, M., Zhang, F., Jin, S., Zhang, J., & Zhao, X. (2017). PaTAVTT: A Hardware-in-the-loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking. Journal of Advanced Transportation, 2017, 1–11. https://doi.org/https://doi.org/10.1155/2017/9203251(SCI收录,JCR 二区,IF=1.813) Zhao, X., Xu, Z*., Song, H., Zhao, Z., & Wang, W. (2012). Modeling and Development of Novel Giant Magnetostrictive Transducer for Large Block Concrete Testing. International Journal on Information, 15(6), 2613–2622.( SCI收录,通信作者) Zhao, X., Min, H., Xu, Z*., Li, X., & Sun, P. (2018). Image Anti-blurring and Statistic Filter of Feature Space Displacement : Application to Visual Odometry for Outdoor Ground Vehicle. Journal of Sensors,Volume 2018,1-14.https://doi.org/10.1155/2018/2987819 (SCI收录,通信作者) Liu, P., Yang, R., & Xu, Z. (2018). How safe is safe enough for self-driving vehicles? Risk Analysis.(in press-a，JCR 一区,IF=2.898) Liu, P., Yang, R., & Xu, Z.(2018). Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions. Risk Analysis.(in press-b，JCR 一区,IF=2.898) Min, H., Zhao, X., Xu, Z., & Zhang, L. (2017). Robust Features and Accurate Inliers Detection Framework: Application to Stereo Ego-motion Estimation. KSII Transactions on Internet & Information Systems. 11(1), 302–320. ( SCI收录) Yu, S., Zhao, X., Xu, Z., & Shi, Z. (2016). An improved car-following model considering the immediately ahead car’s velocity difference. Physics A, 461(1), 446–455. ( SCI收录)