近5年发表SCI/EI论文10余篇: 1.Lai Q ,Liu J, Haghani A , et al. Energy-efficient speed profile optimization for medium-speed maglev trains[J]. Transportation Research Part E Logistics and Transportation Review, 2020, 141:102007. 2.Chao Yu, Haiying Li, Xinyue Xu, Jun Liu. Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems. Transportation Research Part E,142, 2020,102037. 3.Xinyue Xu,Jun Liu,Hai-ying Li,Man Jiang,Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study,Transportation Research Part E: Logistics and Transportation Review,2016,87:130-148. 4.Xu, X. Y., Liu, J., Li, H. Y., & Hu, J. Q. (2014). Analysis of subway station capacity with the use of queueing theory. Transportation Research Part C: Emerging Technologies, 38, 28-43. 5.曾璐,刘军,秦勇,汪波,许心越. 基于 AFC数据的突发事件下城市轨道交通乘客路径决策研究 . 铁道学报,2019. 41(8):9-18. 6.许心越,吴宇航,张英男 王雪琴,刘军. 考虑时空修正的轨道交通封站短时客流预测方法. 交通运输工程学报,2021. 21(5):251-264. 7.Yuedi Yang; Jun Liu; Pan Shang; Xinyue Xu; Xuchao Chen ; Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passi ng and Backpropagation Techniques, Journal of Advanced Transportation, 2020, 2020. 8.Yang Yuedi; Liu Jun; Shang Pan; Chen Xuchao; Cao Jingjia ; Temporal and Spatial Evolution of Passenger Flow in an Urban Rail Transit Network during Station Closure, IEEE Access, 2021, 9: 29623-29640. 9.Lai Q, Liu J, Haghani A, et al. Optimal Energy Speed Profile of Medium-Speed Maglev Trains Integrating the Power Supply System and Train Control System:[J]. Transportation Research Record, 2020, 2674(10):729-738. 10.Shi, R., Xu, X., Li, J., & Li, Y. (2021). Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization. Applied Soft Computing, 107538. 11.Yu, C., Li, H., Xu, X., Liu, J., Miao, J., Wang, Y., & Sun, Q. (2021). Data-driven approach for passenger mobility pattern recognition using spatiotemporal embedding. Journal of advanced transportation, 2021. 12.Haiying Li,Xian Li, Xinyue Xu, Jun Liu, Bin Ran. Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing.Transport Policy, 69 (2018):106–121. 13.Xueqin Wang,Xinyue Xu,Jun Liu. An effective spatiotemporal deep learning framework model for short-term passenger flow prediction[J]. Soft Computing, 2022, 26:5523–5538. 14.Yuedi Yang; Jun Liu; Minshu Ma; Xuchao Chen ; Impact of Air Service on High-speed Railway Passenger Flow, International journal of transport economics, 2019, 46(4): 137-158. 15.Xinyue Xu, Haiying Li, Jun Liu, Bin Ran & Lingqiao Qin (2019) Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study, Transportmetrica B: Transport Dynamics, 7(1):446-472 近5年申请并授权专利10余项: 1.刘军; 马敏书; 李春燕; 杨越迪; 一种关于高速铁路客流的组合预测方法, 2021-7-2, 中国, 201711 2435898. 2.许心越,张安忠(研);蔡昌俊(外);刘军. 基于乘客出行信息的轨道交通客流预测方法和系统. 2022-04-18,中国, ZL 202210254509. 3.许心越,孔庆雪;刘军;蔡昌俊;赖晴鹰. 地铁站的区域集中管理方法和系统. 2022-05-17, 中国, ZL 202210297633. 4.许心越; 李海鹰; 刘梦雨; 刘军; 廖正文; 非正常事件下车站通过能力的计算方法及存储介质、终端, 2020-8-11, 中国, ZL2020 1 0801816.X. 5.许心越; 李海鹰; 刘军; 于超; 李建民; 一种拥挤条件下轨道交通反向乘客的识别及乘车班次的推定方法及系统, 2020-5-18, 中国, ZL202010418186.8. 6.许心越; 李建民; 王铭铭; 石睿; 张可; 李燕秋; 一种非正常事件下高铁路网图定能力保持方法, 2019-11-21, 中国, ZL201911149049.2. 7.许心越;刘军;李海鹰;吴宇航;张英男;糜子越;王雪琴; 一种封站条件下的轨道交通短时客流预测方法及系统,2021-4-13,中国,ZL2020 1 0732199.2 8.许心越;李建民;李海鹰;刘军;夏霖琪;张亚敏;城市轨道交通乘客出行路径选择估计方法,2021-6-15,中国,ZL2019 1 0594844.6 9.许心越;李宪;李海鹰;刘军;一种地铁乘客出行时间选择行为分析方法,2021-4-23,中国,ZL 2017 1 0457828.3 11.许心越;叶雨涛;刘军;基于非高峰时段的城市轨道交通混合运输方法和系统,2021-5-7,中国,ZL 2021 1 0122124.7 12.许心越; 李建民;李海鹰;刘军;一种基于数据驱动的城市轨道交通路网协同限流方法,2021-7-30,中国,ZL 2019 1 0470801.7 13.许心越,夏霖琪; 刘军; 张亚敏; 赵若愚;李建民. 城市轨道交通多场景下客流精准诱导方法及系统 2021-10-22, 中国,ZL 2019 1 0753308.6 14.许心越,张可,蔡昌俊,张佳音,刘军. 城市轨道交通预约进站方法、系统、电子设备及存储介质 2021-12-03,中国,ZL 2021 10933888.4
出版专著4部: 1.刘军,董宝田.电子商务系统的分析与设计[M],高等教育出版社,2003-07 2.刘军,季常煦,曾洁琼.电子商务系统的规划与设计[M],人民邮电出版社,2001-04 3.刘军,曾洁琼.电子商务系统的规划与设计[M],人民邮电出版社 4.Xu Xinyue and Liu Jun,2019. 《Active passenger flow control in urban rail transit networks: theory and methods 》China Communications Press |