English

曹鹏 副教授

交通运输与物流学院

+

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

论文(*通讯作者)

  1. He, Y., Cao, P., Suo, D. and Liu, X., A Joint Optimization of Beam Distribution and Deployment for Roadside LiDAR Systems to Maximize Vehicle Perception. IEEE Transactions on Intelligent Vehicles, 2024. (SCI, IF=14, JCR Q1)

  2. Yin, J., Cao, P.*, Li, Z., Li, L., Li, Z., & Li, D. (2024). Modelling the fundamental diagram of traffic flow mixed with connected vehicles based on the risk potential field. IET Intelligent Transport Systems. 11 july 2024. (SCI, IF=2.3, JCR Q2)

  3. Zhongling Su, Peng Cao*Xiaobo Liu, Yandong Tang, Fei Chen, An Efficient Background Filtering Method for Roadside LiDARs, IEEE sensors journal, 24(14), 2024(SCI, IF=4.3, JCR Q1)

  4. 尹嘉诚,曹鹏*,李林恒,崔舜来,复杂网联环境下基于势场的交通风险表征方法,计算机仿真,2024(中文核心)

  5. Yuanzhi Xie, Gongyuan Lu, Fangfang Zheng, Peng Cao, Xiaobo Liu, A Hierarchical Approach for Integrating Merging Sequencing and Trajectory Optimization for Connected and Automated Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2024.01 (SCI, IF=8.5, JCR Q1)

  6. 汪娇,刘锴,栗慧哲,曹鹏,王秋玲,基于LDA主题模型的在途驾驶风格识别方法研究,中国安全科学学报,2024(中文核心)

  7. 陈越,尹嘉诚,曹鹏*,信用分配下智能网联车轨迹数据价值评价方法,计算机仿真,2024(中文核心)

  8. 苏中玲,曹鹏*,唐颜东,李凯,陈非,基于背景滤除和聚类的高速公路路侧激光雷达车辆检测研究,综合运输,46(3), 2024

  9. Shunlai Cui, Peng Cao*, Yiming Wang, Xiaobo Liu, Developing a Quantitative Relationship between the Number of LiDAR Points and Vehicle Position, Transportation Research Board Annual Meeting 2024

  10. Yiming Wang, Ruijin Bai, Peng Cao*, Xiaobo Liu,Optimizing the Placement of Roadside LiDAR at Intersections,Transportation Research Board Annual Meeting 2024

  11. Zhuoran Li, Gongyuan Lu, Xiaobo Liu, Peng Cao*,Heuristic Platoon Control Method for CAVs at Urban IntersectionsJournal of Transportation Engineering Part A: Systems, 150(3), 2024(SCI, IF=2.1, JCR Q3)

  12. Jiacheng Yin, Zongping Li, Peng Cao*, Linheng Li, Yanni Ju, Car-Following Modeling based on Morse Model with Consideration of Road Slope in Connected Vehicles Environment, Physica A: Statistical Mechanics and its Applications, 622, 2023: 128827(SCI, IF=3.3, JCR Q2)

  13. Peng Cao, Yiming Wang, Xiaobo Liu, A trajectory-based method for dividing lanes of vehicle trajectories collected by roadside LiDARs, Transportation Research Record, 2023, DOI: 10.1177/03611981231182987(SCI, IF=1.7, JCR Q3)

  14. Xiaobo Liu, Zhang Ziming, Tomio Miwa, Peng Cao*, Estimating Freeway Lane-level Traffic State with Intelligent Connected Vehicles, Transportation research record,2023,2677(1), 60-75. (SCI, IF=1.7, JCR Q3 )

  15. Peng Cao, Zhiqiang Xiong, Xiaobo Liu,An analytical model for quantifying the efficiency of traffic-data collection using instrumented vehicles,Transportation Research Part C: Emerging Technologies, 2022,136,103558 (SCI, IF=8.089, JCR Q1)

  16. 盛东雪,曹鹏*, 基于CHMM 的信号交叉口车流转向比例估计研究, 综合运输,2021年,第 43 卷,第 11 期:81-87

  17. 刘晓波, 鲁工圆, 郑芳芳, 李瑞杰, 曹鹏, 孔悠, 聂宇, 自动驾驶交通系统的协同管控技术, 2020 年, 第65卷第6 期: 434-441

  18. Duo Li, Xiangmo Zhao, and Peng Cao, An Enhanced Motorway Control System for Mixed Manual/Automated Traffic Flow, IEEE System Journal,2020, 14(4) (SCI, IF=3.931, JCR Q1)

  19. Daniel (Jian) Sun, Zhiwei Yin, Peng Cao, An improved CAL3QHC model and the application in vehicle emission mitigation schemes for urban signalized intersections, Building and Environment, 2020, 183 (SCI, IF=6.456, JCR Q1)

  20. 范翘楚,曹鹏*,基于无人驾驶车数据的快速路排队长度实时检测方法,综合运输,2019,41(02):54-59.

  21. 曹鹏*,马婕,施展华,针对浮动车异常数据的增强型在线异常点检测算法,交通运输工程与信息学报,2019年02期, 17(64): 23-35

  22. Peng Cao,Zhandong Xu, Qiaochu Fan& Xiaobo Liu, (2018). Analysing Driving Efficiency of Mandatory Lane Change Decision for Autonomous Vehicles.IET Intelligent Transport Systems, DOI:10.1049/iet-its.2018.5253(SCI, IF=1.387, JCR Q3)

  23. Peng Cao,Qiaochu Fan,& Xiaobo Liu, (2018). Real-Time Detection of End-of-Queue Shockwaves on Freeways Using Probe Vehicles with Spacing Equipment, IET Intelligent Transport Systems, DOI:10.1049/iet-its.2018.5124. (SCI,IF=1.387, JCR Q3)

  24. Peng Cao,Yubai Hu,Tomio Miwa,Yukiko Wakita,Takayuki Morikawa,&Xiaobo Liu, (2017). An Optimal Mandatory Lane Change Decision Model for Autonomous Vehicles in Urban Arterials. Journal of Intelligent Transportation Systems, 21(4), 271-284.DOI:10.1080/15472450.2017.1315805.(SCI, IF=2.164,JCR Q2)

  25. Kai Liu, Meng-Ying Cui, Peng Cao*, and Jiang-Bo Wang, (2016). Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data, PLoS ONE, 11(6), DOI:10.1371/journal.pone.0158123. (*corresponding author, SCI, IF=2.806).

  26. Peng Cao, Tomio Miwa, Takayuki Morikawa, (2014), Use of Probe Vehicle Data to Determine Joint Probability Distributions of Vehicle Location and Speed on an Arterial Road. In Transportation Research Record: Journal of the Transportation Research Board, No. 2421, pp. 103-114. DOI: 10.3141/2421-12.(SCI, IF=0.695).

  27. Peng Cao, Tomio Miwa, Toshiyuki Yamamoto, Takayuki Morikawa, (2013), Bilevel Generalized Least-Square Estimation of Dynamic Origin-Destination Matrix for Urban Network Using Probe Vehicle Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2333, pp. 66–73.http://dx.doi.org/10.3141/2333-08.(SCI, IF=0.695).

  28. Peng Cao, Tomio Miwa, Takayuki Morikawa, (2014), Modeling distribution of travel time in signalized road section using truncated distribution, Procedia-Social and Behavioral Sciences, Vol.138, pp.137-147.https://doi.org/10.1016/j.sbspro.2014.07.189.

  29. Peng Cao, Tomio Miwa, Toshiyuki Yamamoto, Takayuki Morikawa, (2013), Estimation of Dynamic Link Flows and Origin-Destination Matrices from Lower Polling Frequency Probe Vehicle Data. Journal of the Eastern Asia Society for Transportation Studies,10, 762–775.DOI:10.11175/easts.10.762.

  30. Rui Mu, Toshiyuki Yamamoto, and Peng Cao, (2013), Simulation analysis of micro-cars safety influence on traffic network, Traffic Science, Vol. 44, No. 1, pp. 49-58.https://ci.nii.ac.jp/naid/40019845633

  31. Peng Cao, Tomio Miwa, Takayuki Morikawa, (2013), Application of Truncated Distribution to Travel Time on Signalized Road Section, Proceedings of the 20th World Congress on Intelligent Transport Systems, Tokyo, Japan, CD-ROM.

  32. 李强,曹鹏,缪立新,(2013),针对探测车历史数据的离线地图匹配算法,武汉大学学报(信息科学版),2013,2.http://www.cnki.com.cn/Article/CJFDTotal-WHCH201302028.htm.(EI).


 

会议报告

  • Maximizing Driving Efficiency for Autonomous Vehicles for Optimal Mandatory Lane Change Decision. The 2nd World Transportation Convention, June, Beijing, China.

  • Estimating Dynamic Origin-Destination Demand from Probe Vehicle Data. 8th China/Japan Joint Seminar on Urban and Transport Development & Sustainable Urban Transportation Development, August, Urumqi, China.

  • Bi-level GLS estimation of dynamic Origin-Destination matrix for urban network using probe vehicle data. 92nd annual meeting of the transportation research board, January, Washington, D.C., USA.

  • Application of Truncated Distribution to Travel Time on Signalized Road Section. 9th China/Japan Joint Seminar, June, Qifu, Japan.

  • Estimation of Dynamic Link Flows and Origin-Destination Matrices from Lower Polling Frequency Probe Vehicle Data, 10th Conference on Eastern Asia Society for Transportation Studies, 9-12 September, Taipei, China.

  • Application of Truncated Distribution to Travel Time on Signalized Road Section, 20th World Congress on Intelligent Transport Systems, October, Tokyo, Japan.

  • Joint probability distributions of vehicle locations and speeds from probe data on arterial road. 93rd annual meeting of the transportation research board, January, Washington,D.C., USA.

  • Modeling distribution of travel time in signalized road section using truncated distribution, 9th International Conference on Traffic & Transportation Studies, August, Shaoxing, China.