姚志洪 副教授

硕士生导师

个人信息Personal Information


学位:工学博士学位

主要任职:《IEEE Transactions on Vehicular Technology》副主编、《交通运输工程与信息学报》编委

毕业院校:西南交通大学

学科:交通运输工程. 交通运输规划与管理. 交通工程

所在单位:交通运输与物流学院

报考该导师研究生的方式

欢迎你报考姚志洪老师的研究生,报考有以下方式:

1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择姚志洪老师,你的所有申请信息将发送给姚志洪老师,老师看到后将和你取得联系,点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请姚志洪老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为姚志洪老师,老师看到信息后将和你取得联系,点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考姚志洪老师招收的专业和方向,进入复试后提交导师意向时选择姚志洪老师。

4、如果你有兴趣攻读姚志洪老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

点击关闭

学术论文

当前位置: 中文主页 >> 学术论文

代表性期刊论文:

  • Z Yao*, Y Wu, Y Wang, B Zhao, and Y Jiang. Analysis of the Impact of Maximum Platoon Size of CAVs on Mixed Traffic Flow: An Analytical and Simulation Method[J]. Transportation Research Part C: Emerging Technologies, 2023, 147: 103898.(SCI, 中科院1区TOP)

  • Z Yao, T Ren, Y Wang*, Z Xu, and Y Jiang. Fundamental Diagram of Mixed Traffic Flow Considering Dedicated and Shared Lanes Management Policies for CAVs [J]. IEEE Transactions on Transportation Electrification, 2023, 2023: 1-16. (SCI, 中科院1区TOP)

  • Z Yao*, Y Wu, Y Jiang*, and B Ran. Modeling the Fundamental Diagram of Mixed Traffic Flow with Dedicated Lanes for Connected Automated Vehicles [J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(6): 6517-6529. (SCI, 中科院1区TOP)

  • Z Yao, H Jiang*, Y Jiang*, and B Ran. A Two-Stage Optimization Method for Schedule and Trajectory of CAVs at an Isolated Autonomous Intersection [J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(3): 3263-3281. (SCI, 中科院1区TOP)(ESI高被引)

  • Z Yao*, H Jiang, Y Cheng, Y Jiang, and B Ran. Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone [J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(3):1841-1851. (SCI, 中科院1区TOP)(ESI高被引)

  • Z Yao, L Shen*, R Liu, Y Jiang, and X Yang. A Dynamic Predictive Traffic Signal Control  Framework in a Cross-Sectional Vehicle Infrastructure Integration  Environment [J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(4): 1455-1466. (SCI, 中科院1区TOP)(ESI高被引)

  • Z Yao, H Deng, Y Wu*, B Zhao, G Li, and Y Jiang. Optimal Lane-changing Trajectory Planning for Autonomous Vehicles Considering Energy Consumption [J]. Expert Systems with Applications, 2023, 225: 120133. (SCI, 中科院1区TOP)

  • Z Yao*, Y Ma, T Ren, and Y Jiang. Impact of the Heterogeneity and Platoon Size of Connected Vehicles on the Capacity of Mixed Traffic Flow [J]. Applied Mathematical Modelling, 2024, 125: 367-389. (SCI, 中科院2区TOP)

  • H Jiang, Z Yao*, Y Jiang*, and Z He. Is All-Direction Turn Lane a Good Choice for Autonomous Intersections? A Study of Method Development and Comparisons [J]. IEEE Transactions on Vehicular Technology, 2023, 72(7): 8510-8525. (SCI, 中科院2区TOP)(ESI高被引)

  • Y Wang, Y Jiang, Y Wu, and Z Yao*. Mitigating Traffic Oscillation through Control of Connected Automated Vehicles: A Cellular Automata Simulation [J]. Expert Systems with Applications, 2024, 235: 121275. (SCI, 中科院1区TOP)

  • L Shen, R Liu, Z Yao*, W Wu, and H Yang. Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control [J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(2): 431-440. (SCI, 中科院1区TOP)

  • Z Yao, Y Wang, B Liu*, B Zhao, and Y Jiang.  Fuel Consumption and Transportation Emissions Evaluation of Mixed Traffic Flow with Connected Automated Vehicles and Human-driven Vehicles on Expressway [J]. Energy, 2021, 230:120766. (SCI, 中科院1区TOP)

  • Z Yao*, R Hu, Y Jiang, and T Xu. Stability and Safety Evaluation of Mixed Traffic Flow with Connected Automated Vehicles on Expressways [J]. Journal of Safety Research, 2020, 75: 262-274. (SCI, 中科院2区)

  • 蒋阳升, 蒋浩然, 姚志洪*, 王逸. 基于虚拟车队的自动交叉路口车辆时序优化模型[J].中国公路学报, 2022, 35(08): 291-303. (公路交通领域顶级高水平中文期刊)

  • 姚志洪, 沈旅欧*, 巫威眺, 蒋阳升, 黄磊. 基于行程时间分布的异质交通流车队离散模型[J].中国公路学报, 2016, 29(08): 134-142,151. (公路交通领域顶级高水平中文期刊)

  • 姚志洪, 顾秋凡, 徐桃让, 蒋阳升, 涂丹*. 考虑时延的智能网联汽车混合交通流稳定性分析[J].控制与决策, 2022, 37(06): 1505-1512. (控制领域顶级高水平中文期刊)

  • 姚志洪*, 蒋阳升, 胡蓉, 张永祥, 罗孝羚.基于混合整数规划的智能网联车冲突区时序优化模型[J].控制与决策, 2021, 36(03): 705-1510. (控制领域顶级高水平中文期刊)


代表性会议论文:

  • Z Yao*. Minimization of Fuel Consumption for Lane-changing Trajectory of Connected Automated Vehicles [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.09.  (交通领域权威国际会议)

  • Y Jiang, T Reng, S Wang, Z Yao*. Platoon-aware Multi-lane Cellular Automata Model for Mixed Traffic Flow with Connected Automated Vehicles [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.09. (交通领域权威国际会议)

  • Y Jiang, T Reng, Z Yao*, Y Ma. Safety Analysis of The Effect of Maximum Platoon Size of Connected Automated Vehicles [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.09.  (交通领域权威国际会议)

  • H Jiang, Z Yao*, and Y Jiang. A Two-Stage Optimization Method for Schedule and Trajectory of CAVs at an Isolated Autonomous Intersection [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.09.  (交通领域权威国际会议)

  • H Jiang, Z Yao*, and Y Jiang. Is All-Direction Turn Lane a Good Choice for Autonomous Intersections? A Study of Method Development and Comparisons [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.10.  (交通领域权威国际会议)

  • H Hao, Z Yao*, and Y Jiang. Fundamental Diagram of Mixed Traffic Flow Considering CAVs Degradation, Time Lags, and Platooning Intensity [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.10.  (交通领域权威国际会议)

  • Q Gu, Z Yao*, and Y Jiang. Fundamental Diagram and Stability of Mixed Traffic Flow Considering Platoon Size and Intensity of Connected Automated Vehicles [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.10.  (交通领域权威国际会议)

  • Y Jiang, Y Ma, Z Yao*, F Zhu. A Capacity Model of Signalized Intersection with Dedicated Lanes for Automated Vehicles [C]. Transportation Research Board of the National Academies, Washington, D.C., 2023.01.10. (Poster Session) (交通领域权威国际会议)

  • H Jiang, Z Yao*, Y Jiang. Virtual Platoon–based Vehicle Schedule Optimization Model for Autonomous Intersections [C].Transportation Research Board of the National Academies, Washington, D.C., 2022(交通领域权威国际会议)

  • Z Yao*, M Liu, T Xu, et al. Stability Analysis of Heterogeneous Traffic Flow Considering Degradations of Connected Automated Vehicles and Time Delays [C]. Transportation Research Board of the National Academies, Washington, 2021.  (交通领域权威国际会议)

  • Z Yao*, K Gao, Y Cheng, et al. A Kalman Filtering Method for Real-Time Queue Length Estimation in a Connected Vehicle Environment [C]. Transportation Research Board of the National Academies, Washington, 2021.  (交通领域权威国际会议)

  • Z Yao*, S Wang, M Liu, et al.  A Two-level Model for Traffic Signal Timing and Trajectories Planning of Multiple Connected Automated Vehicles in a Random Environment [C]. Transportation Research Board of the National Academies, Washington, 2021. (交通领域权威国际会议)

  • Z Yao, Y Jiang*, X Luo, et al. Dynamic Traffic Flow Prediction Model for Real-Time Adaptive Signal Control in Vehicle Infrastructure Integration Environment [C]. Transportation Research Board of the National Academies, Washington, 2017. (交通领域权威国际会议)

  • Z Yao, P Han, B Zhao, et al. High-Granularity Dynamic Traffic Flow Prediction Model Based on Artificial Neural Network [C]. Transportation Research Board of the National Academies, Washington, 2017. (交通领域权威国际会议)

ZhihongYao_CV_202312.pdf