jk 露出 西南交通大学教师主页 Gongyuan Lu

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jk 露出 西南交通大学教师主页 Gongyuan Lu
发布日期:2024-10-08 22:30    点击次数:135

jk 露出 西南交通大学教师主页 Gongyuan Lu

Transportation Simulation

1. Railway yard operation simulationjk 露出

2. High-speed railway traffic simulation

3. Multi-railway mode  traffic management simulation, etc.

Transportation Optimization

1. Train platforming and routing in railway yards

2. Autonomous Vehicle Trajectory optimization

3. High-speed train headway optimization, etc.

Journal Papers

[1]    张博健,彭其渊,李力,鲁工圆. 面向调移车辆数优化的摘挂列车调车功课主见编制要领[J]. 铁谈学报. 2020.3

[2]    彭其渊,王超宇,鲁工圆. 基于到发线欺诈规矩的列车到达拒绝压缩要领及仿真盘问[J]. 中国铁谈科学. 2020. 1.

[3]    Lu G, Nie Y M, Liu X, et al. Trajectory-based traffic management inside an autonomous vehicle zone[J]. Transportation Research Part B: Methodological, 2019, 120: 76-98.

[4]    Lu G, Zhou X, Mahmoudi M, et al. Optimizing resource recharging location-routing plans: A resource-space-time network modeling framework for railway locomotive refueling applications[J]. Computers & Industrial Engineering, 2019, 127: 1241-1258.

[5]    李登辉,彭其渊,鲁工圆*. 城市轨谈交通岑岭澄篾片流协同鸿沟要领[J]. 交通运载工程与信息.2019.12.

[6]    彭其渊,张永祥,鲁工圆,李文新,石铁.基于时空资源的铁路客运站到发线欺诈诊治[J].同济大学学报(当然科学版),2019,47(07):1011-1021.

[7]    鲁工圆,张杏蔓,潘明轩,薛锋.轨谈交通快线运营措置与调遣指导时势盘问——以重庆市为例[J].概括运载,2019,41(07):121-126.

[8]    张晓梅,鲁工圆,何须胜,谭永刚.基于城市轨谈交通调遣指导仿真系统的践诺素养盘问[J].践诺室科学,2019,22(03):134-138.

[9]    董云周,鲁工圆,董健.城市轨谈交通济急预案编制与优化[J].都市快轨交通,2019,32(03):138-144.

[10] 刘帆洨,彭其渊,鲁工圆,潘金山.基于KFCM双重聚类的铁路客运居品类别分离[J].交通运载工程与信息学报,2019,17(02):16-22.

[11] 朱子轩,鲁工圆,何须胜,彭其渊.单线铁路收陈设车动手智能调遣仿真盘问[J].设想机仿真,2019,36(05):194-201.

[12] 彭其渊,宁佳,鲁工圆.大型高铁客运站到发线欺诈诊治模子及算法[J].铁谈学报,2019,41(01):10-19.

[13] 彭其渊,彭丹,宁佳,鲁工圆.高铁客运站到发线欺诈冲破预警技能[J].概括运载,2018,40(11):62-69.

[14] 张晓梅,张雷,鲁工圆.普速铁路开行时速160?km动车组游客市集分析[J].中国铁路,2018(09):29-33.

[15] 刘帆洨,彭其渊,鲁工圆,张斌.基于高速铁路换乘处事收罗的当场用户平衡模子[J].铁谈运载与经济,2018,40(08):81-87.

[16] 吴正阳,鲁工圆,马驷.多资源拘谨下车辆配送旅途优化模子[J].交通运载工程与信息学报,2018,16(01):122-130.

[17] 马驷,孙建康,鲁工圆.高速铁路车站列车进路分拨有规划的优化与诊治[J].中国铁谈科学,2018,39(01):122-130.

[18] Guangyuan Zhang, Xiaodong DING,Gongyuan Lu*,Yang yu.An experimental analysis on the turnover time of railway freight transportation based on the impact strength of factors[J].Journal of Chongqing University(English Edition),2017,16(03):113-123.

[19] 张光远,DING Xiao-dong,鲁工圆,于洋.An experimental analysis on the turnover time of railway freight transportation based on the impact strength of factors[J].Journal of Chongqing University(English Edition),2017,16(03):113-123.

[20] 张光远,倪少权,郝建平,马驷,鲁工圆.以智能化为中枢的宇宙铁路列车动手图编制研发践诺中心栽种[J].践诺技能与措置,2017,34(08):210-214+218.

[21] 张光远,丁小东,鲁工圆,倪少权,庄河.基于红外与高速录像技能相麇集的铁路超限检测系统践诺分析[J].概括运载,2017,39(07):54-59.

[22] 张光远,鲁工圆,庄河,丁小东,龚迪.智能化与概括化为双导向的西部交通运载系统进化和优化西宾分析[J].概括运载,2017,39(05):6-10.

[23] 庄河,张光远,丁小东,鲁工圆,龚迪,黄修莉.基于赔本躲避的报童决策偏差酿成机制[J].上海交通大学学报,2017,51(02):237-244.

[24] 鲁工圆,马驷,王坤,邓念.城市轨谈交通澄篾片流鸿沟整数磋商模子[J].西南交通大学学报,2017,52(02):319-325.

[25] 徐进,杨奎,鲁工圆,邵毅明.基于当然驾驶的山区公路行驶酣畅肠盘问[J].西南交通大学学报,2017,52(02):309-318.

[26] 徐进,罗骁,张凯,鲁工圆,邵毅明.基于当然驾驶西宾的山区公路汽车行驶轨迹特点盘问[J].中国公路学报,2016,29(07):38-51.

[27] Xu J, Yang K, Shao Y M, Lu G* An experimental study on lateral acceleration of cars in different environments in Sichuan, Southwest China[J]. Discrete Dynamics in nature and Society, 2015

[28] 蹇明,宗涵,鲁工圆.接头销售价钱变动的服装行业供应链条约盘问[J].工业工程,2015,18(03):10-16+29.

[29] 杨奎,彭其渊,鲁工圆,赵军.高速铁路天窗诞生与夜间列车动手相助优化技能[J].铁谈学报,2015,37(04):1-7.

[30] 鲁工圆,闫海峰,徐进.基于TCPN的铁路客运站功课组合仿真模子[J].西南交通大学学报,2013,48(04):694-701.

[31] 鲁工圆,陈露.川南城市群城际铁路网栽种时势有关问题分析[J].中国铁路,2013(08):20-23.

[32] 鲁工圆,闫海峰,校磊,杨奎.高速铁路车站功课建模及仿真系统盘问[J].铁谈运载与经济,2013,35(05):37-42.

[33] 鲁工圆,彭其渊,闫海峰,杨奎.高速铁路车站功课历程的TCPN仿真通用模子[J].系统仿真学报,2013,25(04):831-838.

[34] 鲁工圆,彭其渊.铁路车站功课仿真系统构架盘问[J].铁谈运载与经济,2012,34(01):27-32.

五月天小说

[35] 鲁工圆. 铁路车站功课系统仿真技能盘问[D].西南交通大学,2011.

[36] 李成兵,鲁工圆,郭倩倩,陈钉均.动车组乘务员欺诈主见的平衡性盘问[J].内燃机车,2009(12):31-33+0.

[37] 李成兵,郭倩倩,鲁工圆,陈钉均.列车动手图的平衡性盘问[J].铁谈运载与经济,2009,31(06):87-88+91.

[38] 鲁工圆,彭其渊,贺东.铁路技能站功课系统的仿真计谋盘问[J].交通运载工程与信息学报,2009,7(02):55-61.

[39] 鲁工圆,彭其渊,贺东.基于破碎事件系统的客运专线车站功课仿真系统盘问[J].铁路设想机应用,2009,18(01):5-8.

[40] 鲁工圆,彭其渊,皆一鸣.山区铁路凹凸行不同速率的匹配有规划盘问[J].交通运载工程与信息学报,2008(03):15-20.

[41] 鲁工圆. 客运专线车站功课仿真系统的盘问及应用[D].西南交通大学,2008.

Conference Paper/Report

[1]    Chaoyu Wang, Qiyuan Peng, Gongyuan Lu*. Compressing Arrival Headway between Trains by Speed Control on High-Speed Railway. Transportation Research Board 2020.

[2]    He B, Zhang H, Wen K, Lu G. Machine Learning based integrated pedestrian facilities planning and staff assignment problem in transfer stations[C]. RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press, 2019 (069): 407-428.

[3]    Ning J, Peng Q, Lu G. Real-time Train Platforming and Routing at Busy Complex High-speed Railway Stations[C]. RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press, 2019 (069): 930-949.

[4]    Li D, Peng Q, Lu G*. Passenger Flow Control with Multi-station Coordination on an Oversaturated Urban Rail Transit Line: A Multi-objective Integer Linear Programming Approach[C].  RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press, 2019 (069): 724-742.

[5]    Liu D, Lu G, Peng Q. An Iterative Approach for Profit-Oriented Railway Line Planning[C]. RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th–20th, 2019. Linköping University Electronic Press, 2019 (069): 768-805.

[6]    Gongyuan Lu, Xiaobo Liu, Yu Marco Nie. Trajectory-based Traffic Management Inside an Autonomous Vehicle Zone, International Symposium on Emerging Trends in Transportation, COTA, Honolulu. 2018

[7]    Gongyuan Lu; Xiaobo Liu; Yu Marco Nie, A New Optimization Model For The Train Platforming And Routing Problem, Transportation Research Board 2017.

[8]    Yang K, Peng Q, Wen C, et al. The Advanced Overnight Operation Mode in Chinese High Speed Railway. Transportation Research Board 2016.

[9]    Zhang Guangyuan, Lu Gongyuan*. A MIP Model for High-speed Train Platforming Problem with Route Conflicts Constraints. INFORMS ANNUAL MEETING 2016

[10]  Si Ma, Gongyuan Lu, Lin Wang. Train Timetable Based Integer Programming Model For Passenger Assignment Problem In Congest Urban Rail Line. INFORMS ANNUAL MEETING 2016

[11] Gongyuan Lu, Xuesong Zhou*. An Integrated Model for Locomotive Routing and Fueling Facility Locating. Informs 2015.

[12] Yuan Wang, Gongyuan Lu*. A General Solution for Rail Yard Simulation with Conflicting Routes. Informs 2015.

[13] Rui X, Gongyuan L, Dong H. Simulated annealing algorithm for solving a bi-level optimization model on high-speed railway station location[C]//2010 Third International Conference on Information and Computing. IEEE, 2010, 2: 159-162.

Books

[1]    闫海峰,鲁工圆,薛锋. 铁路通过才调设想要领. 西南交通大学出书社. 2019

[2]    蒋朝哲,彭其渊,文 超,鲁工圆. Transportation System Engineering. 2018

[3]    闫海峰,鲁工圆. 大型编组站功课仿真践诺教程. 西南交通大学出书社. 2015

[4]    殷勇,鲁工圆. 交通运载开辟. 西南交通大学出书社. 2014

Patents

[1]    鲁工圆,张博健,李力,王超宇. 一种摘挂列车调车功课主见编制要领[P]. CN108717609A,2018-10-30.

[2]    鲁工圆,彭其渊,朱子轩,朱中毅. 一种铁路车站咽喉区列车最小进路冲破的设想要领[P]. CN108564517A,2018-09-21.

[3]    鲁工圆,吴正阳,李登辉,洪明见. 一种城市轨谈交通收罗客流限流要领[P]. CN108550098A,2018-09-18.

[4]    刘晓波,聂宇,鲁工圆,潘明轩. 一种无东谈主车车谈级轨迹的线性磋商优化要领[P]. CN108345967A,2018-07-31.

[5]    杨奎,鲁工圆,徐进,叶丽文. 基于东谈主脸识别的列车在途检票要领[P]. CN106709470A,2017-05-24.

[6]    唐琛山君,黄海于,鲁工圆,杜轶波,许德成,朱芳. 基于东谈主脸检测及追踪的客流量统计系统[P]. CN105957108A,2016-09-21.

[7]    鲁工圆,马驷,王琳. 一种基于线性磋商的城轨澄篾片流峰值展望要领[P]. CN105095994A,2015-11-25.

[8]    杨奎,彭其渊,鲁工圆,徐进,叶丽文,邓念,刘雯丽. 一种基于AFC客票数据的城市轨谈交通客流分析要领[P]. CN104376624A,2015-02-25.

[9]    鲁工圆,徐进,彭其渊. 基于图像识别的铁路车站站场收罗拓扑模子建模要领[P]. CN103345538A,2013-10-09.

[10] 徐进,鲁工圆,邵毅明,杨奎. 一种基于影响因子修正的弧清澈段汽车动手速率展望要领[P]. CN103294901A,2013-09-11.

Softwares

[1]    城市轨谈交通调遣指导仿真数据建模软件.  0731680. 2013

[2]    高速铁路车站功课仿真系统. 0733264. 2012

[3]    铁路车站站场移交图建模软件. 0731617. 2012



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