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曹鹏 副教授

交通运输与物流学院

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论文成果

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学术期刊论文(*通讯作者)

  • Peng Cao, Yiming Wang, Xiaobo Liu*, A trajectory-based method for dividing lanes of vehicle trajectories collected by roadside LiDARs, Submitted to 102nd annual meeting of the transportation research board,(under review)

  • Zhuoran Li, Gongyuan Lu, Xiaobo Liu, Peng Cao*,Hybrid Intersection Control Method for Connected and Automated Vehicles on Arterial Roads, Submitted to IEEE Intelligent Transportation Systems Magazine,(under review)

  • Xiaobo Liu, Zhang Ziming, Tomio Miwa, Peng Cao*, Estimating Freeway Lane-level Traffic State with Intelligent Connected Vehicles, Transportation research record,2022 (已接收)(SCI, IF=1.56)

  • Peng Cao, Zhiqiang Xiong, Xiaobo Liu*,An analytical model for quantifying the efficiency of traffic-data collection using instrumented vehicles,Transportation Research Part C,2022,136,103558 (SCI, IF=8.089)

  • 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

  • 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

  • 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)

  • 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)

  • 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.

  • 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

  • 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)

  • 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)

  • 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)

  • 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).

  • 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).

  • 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).

  • 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.

  • 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.

  • 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

  • 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.

  • 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

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

(2) 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.

(3) 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.

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

(5) 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.

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

(7) 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.

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