个人简介
基本情况
姓 名: |
许心越 |
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职 务: |
博导 |
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职 称: |
教授 |
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学 历: |
博士研究生 |
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学 位: |
博士 |
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通信地址: |
北京交通大学交通运输学院 |
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邮 编: |
xxy_1983@163.com |
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办公电话: |
51688547 |
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电子邮箱: |
教育背景
2010-2015 北京交通大学 博士 交通运输规划与管理 2005-2008 北京交通大学 硕士 系统分析与集成 2001-2005 北京交通大学 本科 交通运输 |
工作经历
2022.12-至今 北京交通大学 教授 2017.12-2022.12 北京交通大学 副教授 2016.8-2017.8 美国威斯康星麦迪逊大学 访问学者 2015-2017 北京交通大学 讲师
2008-2010 航天信息股份有限公司 软件工程师
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研究方向
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招生专业
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学生情况
已毕业硕士 2020 王英祥 铁四院; 2021 石睿 中铁咨询(山东分院); 张亚敏 中铁快运; 李燕秋 深圳交研院 2022 糜子越 广州市交投、丁析 南昌市设计院 , 张可 中国铁路经济规划研究院 2023 谢兰诗雨 江西咨询投资集团 在读博士 2019 李建民;2020 王雪琴;2023 李紫诺 王潇然 在读硕士 2021 张安忠、李浩然、孔庆雪、陈丽丹 2022 王潇然 刘晶 2023 刘斯恬 冯本祥 陈培升 张力丰 本科生 2019,2020 北京市级大创2项;本科毕设13名 |
招生计划
研究方向包括多场景多模式轨道交通大数据挖掘及需求分析,轨道交通智能客流组织及应急处置、无人客站自主服务、交通电子商务,欢迎校内外对智能轨道交通怀有理想,优秀勤奋的本科生、硕士、博士及博后加入 |
科研项目
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教学工作
2015.9 博士课程 计算智能 2015.9 本科课程 交通安全控制技术 2017.9 硕士课程 特殊运营条件下的运输组织优化 2018.1 本科课程 交通运输控制技术 2018-2019 本科课程 智能运输系统设计与集成 2022 本科课程 交通运输控制技术
2022 硕士课程 特殊运营条件下的运输组织优化 2023 博士课程 计算智能
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论文/期刊
近5年发表高水平期刊论文60余篇(包括Transportation Research Part C、Transportation Research Part E、 IEEE TITS、铁道学报、中国铁道科学、交通运输工程学报),ESI 论文2篇,Google引用1400多次,H指数18,典型代表如下: 40. 许心越,刘晶,张安忠,谢兰诗雨,李紫偌,刘军,冉斌. The impacts of COVID-19 on route choice with guidance information in urban rail transit of megacities。Transportation Research Part A,2024,183,104046.
39. 张慧茹,贾利民,王莉,许心越. Energy-Efficient Timetable Optimization Empowered by Time-Energy Pareto Solution under Actual line Conditions. IEEE TITS.Online.(SCI, An1, 交通顶级期刊) 38. 张安忠,许心越,叶红霞. 城市轨道交通乘客画像构建方法及应用策略研究[J].铁道运输与经济,2024,46(1):139-146.
37. 王潇然, 许心越, 潘保霏, 李建民, 孔庆雪, 孙琦.基于地铁客流和建成环境映射关系的新线车站分类方法[J].铁道科学与工程.(EI) 35. 李浩然,许心越,李建民,张安忠.考虑稀疏特性的城市轨道交通短时OD时空预测方法[J].铁道科学与工程,2023,20(10):3685-3695(EI) 34. 王雪琴,许心越,伍元凯, 刘军. 基于混合深度学习模型的城轨短时客流预测[J]. 铁道科学与工程,2022,19(13):3557-3568(EI) 33. 李建民,许心越,丁析. 基于多阶段特征优选的高速铁路列车晚点预测方法[J]. 中国铁道科学,2023,44(4):219-229(EI) 32. 许心越,谢兰诗雨. 诱导信息下城市轨道交通乘客路径选择行为研究[J].交通运输系统工程与信息, 2022, 22(3): 63-73.(EI) 31. 王雪琴,许心越,刘军. An effective spatiotemporal deep learning framework model for short-term passenger flow prediction[J]. Soft Computing, 2022, 26:5523–5538.(An3)
30. 姚振兴, 许心越, 邵海鹏, 杨飞. 基于手机GPS定位数据的交通方式换乘点识别方法研究[J]. 中国公路学报, 2021, 34(12): 276-287.(EI) 29. 王铭铭,王莉,许心越,秦勇. 严重初始延误与区间限速条件下高速列车实时调度模型.铁道学报,2022,44(1):8-16.(EI) 28. Xinyue Xu,Ke Zhang,Ziyue Mi,xueqin Wang. Short-term passenger flow prediction during station closures in metro systems.Expert Systems with Applications,236,2024,121362 An1). 27. 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(交通领域权威期刊) 26. 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.
25.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.(An2)
24. Ping Huang, Chao Wen, Liping Fu, Javad Lessan, Chaozhe Jiang, Qiyuan Peng, Xinyue Xu. Modeling train operation as sequences: A study of delay prediction with operation and weather data. Transportation Research Part E,141, 2020,102022.(SCI, An1, 交通顶级期刊) 23. 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.(SCI, An1, 交通顶级期刊) 22. 梁强升,许心越*,刘利强. 面向数据驱动的城市轨道交通短时客流预测模型. 中国铁道科学,2020,41(4):153-162(EI,交通权威期刊).
21. Ping Huang, Javad Lessan, Chao Wen, Qiyuan Peng, Liping Fua,Li Li, Xinyue Xu.A Bayesian network model to predict the effects of interruptions on train operations. Transportation Research Part C: Emerging Technologies,Volume 114, May 2020, Pages 338-358.(SCI,An2,交通顶级期刊)
20. F Jia, X Jiang, H Li, X Yu, X Xu, M Jiang. Passenger-oriented subway network capacity calculation and analysis based on simulation.Transportation Letters, 2020.1-13.(SCI, An4) 18. 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.(EI,交通权威期刊) 17. Fenfan Jia, Haiying Li, Xi Jiang, Xinyue Xu. Deep Learning-Based Hybrid Model for Short-term Subway Passenger Flow Prediction using AFC Data.IET Intelligent Transport Systems. 2019,volume 13,11:1708-1716.(SCI, An3) 16. H. Li, Y. Wang, X. Xu* et al., Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network.Applied Soft Computing (2019): 105620., https://doi.org/10.1016/j.asoc.2019.105620 (SCI,An1,if=4.9) 15. Huiru Zhang, Liming Jia, Li Wang*, Xinyue Xu*. Energy consumption optimization of train operation for railway systems: algorithm development and real-world case study. Journal of Cleaner Production,214 (2019),1024-1037.(SCI, An2, if=7.2,交通权威期刊) 14.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. (SSCI, An2,if=3.38,交通权威期刊) 13. 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 (SCI, An3) 12. Mingming Wang, Li Wang, Xinyue Xu*, Yong Qin*, and Qin L.Genetic algorithm-based particle swarm optimization approach to reschedule high-speed railway timetables: a case study in China. Journal of Advcanced Transportation. Volume 2019, Article ID 6090742, 12 pages.(SCI An 3) 11. Xu, X., Xie, L., Li, H., & Qin, L. (2018). Learning the route choice behavior of subway passengers from AFC data. Expert Systems with Applications, 95, 324-332.(SCI, if=3.768,An1) 10. Xian Li, Haiying Li, Xinyue Xu*, A Bayesian network modelling for departure time choice: a case study of beijing subway. Promet – Traffic&Transportation,Vol. 30, 2018, No. 5, 579-587.(SCI,An4)
9. S. Sun, H. Li, X. Xu*. A Key Station Identification Method for Urban Rail Transit: A Case Study of Beijing Subway. Promet – Traffic&Transportation, Vol. 29, 2017, No. 3, 267-273.(SCI,An4)
8. ZHENG Xun, LI Hai-ying, MENG Ling-yun, XU Xin-yue (许心越).Improved social force model based on exit selection for microscopic pedestrian simulation in subway station. Journal of Central South University 2015,22:4490-4497 (SCI,An4) 7. Jiang man, Li haiying,Xu xinyue. Metro passenger flow control with station-to-station cooperation based on stop-skipping and boarding limiting. Journal of Central South University (2017) 24: 236-244(SCI, An4) 6. Zheng X, Li H Y, Meng L Y, XU Xin-yue (许心越). Simulating queuing behaviour of pedestrians in subway stations. ICE-Transport, 2017, 170(6):1-8. (SCI,An4)
5. 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.(SCI, An2,交通顶级期刊)
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 (SCI, An2,交通顶级期刊)
3. XU Xinyue*(许心越), Liu Jun, Hai-ying Li. An analytical method to calculate station evacuation capacity. Journal of Central South University 2014,21:4043-4050 (SCI,An4) 2. XU Xinyue*(许心越), Liu Jun, Hai-ying Li. Probabilities model for remain passenger queues at subway station platform. Journal of Central South University 2013,20: 837-844 (SCI,An4) 1. 许心越,刘军#,李海鹰. 基于RSM 的地铁车站集散能力仿真计算.铁道学报2013,1:8-18 (EI,交通权威期刊) |
国际会议
发表交通领域顶级国际会议20多篇,包括TRB、IEEE ITSC、CICTP会议等。典型列表如下: 15. X. Wang, X. Xu and A. Zhang, "A Classification Method for New Line Stations Based on the Mapping Relationship Between Subway Passenger Flow and Built Environment," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 2998-3003, doi: 10.1109/ITSC57777.2023.10422563. 14.J. Liu, X. Xu, A. Zhang and H. Ye, "An Age Attribute Inference Method for Urban Rail Transit Passengers Based on Deep Learning," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 3040-3045, doi: 10.1109/ITSC57777.2023.10421966. 13 .J. Li, X. Xu, R. Shi and X. Ding, "Train arrival delay prediction based on spatial-temporal graph convolutional network to sequence model," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2399-2404, doi: 10.1109/ITSC48978.2021.9564600. 12. X. Ding, X. Xu, J. Li and R. Shi, "A train delays prediction model under different causes based on MTGNN Approach," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2387-2392, doi: 10.1109/ITSC48978.2021.9565038. 11. X. Wang, X. Xu, Y. Wu and J. Liu, "A spatiotemporal graph convolution gated recurrent unit model for short-term passenger flow estimation," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2312-2317, doi: 10.1109/ITSC48978.2021.9565006. 10. R. Shi and X. Xu, "A Train Arrival Delay Prediction model using XGBoost and Bayesian Optimization," 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, pp. 1-6, doi: 10.1109/ITSC45102.2020.9294365. 9. Li, Yanqiu, et al. "A delay prediction model for high-speed railway: an extreme learning machine tuned via particle swarm optimization." 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. 8. Shen, Yuying, Haiying Li, and Xinyue Xu. "Evaluation of travel time variability in metros based on AFC data." 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. 7. Xu, Xu, et al. "Research on Passenger Flow Control Method in Urban Rail Transit during Peak Hours." CICTP 2020. 2020. 2211-2223. 6. Xia, Linqi, et al. "A Spatial Influence Area Model of Station Closure Based on Base Learner." CICTP 2020. 2020. 3203-3215. 5. Liu, Jing, et al. "Modeling Travel Routes Choice of Metro Passengers Considering Guidance Information." CICTP 2020. 2020. 4339-4351. 4. Wang, Yingxiang, et al. "Evaluation service quality of crowding metros using structural equation modelling-A case study in Beijing." 2019 IEEE Intelligent Transportation Systems Conference (ITSC). IEEE, 2019. 3. Xia, Linqi, et al. "Analysis of OD Standard Time in metros Based on AFC data." 2019 IEEE Intelligent Transportation Systems Conference (ITSC). IEEE, 2019. 2. Wang, Mingming, et al. "Characteristics analysis and impact cluster on urban rail transit perturbations: a real case in Beijing." 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018. 1. Xu, Xin-yue, et al. "Measuring capacity flexibility of subway station." 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2014. |
专著/译著
许心越,2021,《非正常事件下高速列车延误控制优化理论与方法》人民交通出版社股份有限公司 蔡昌俊、梁强升、许心越,2020.《城市轨道交通网络化运输组织研究》 人民交通出版社股份有限公司 Xu Xinyue and Liu Jun,2019. 《Active passenger flow control in urban rail transit networks: theory and methods 》China Communications Press 许心越,2016,《城市轨道交通车站服务能力计算与能力适应性评估》 北京交通大学出版社
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专利
申请国内外专利30余项,美国专利1项、国内授权20项(轨道交通客流组织、无人车站、高铁能力提升相关技术),专利转化4项: 20. 蔡昌俊,许心越,杨志强,李俊铖,何建涛,钟仕辰,徐旭,夏霖琪,王雪琴,张可.一种多场景下城市轨道交通客流精准诱导系统. 19. 李海鹰;于超;许心越;刘军;李建民;张佳音.一种城市轨道交通乘客个体出行目的推断的方法及系统. 2024.2.2,中国, ZL 202110901736.6.
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软件著作权
城轨网络运营状态评估与诱导信息发布系统 2018 2018SR471843
特大客流条件下点线协同运输组织方案生成及评估系统 2017 2017SRBJ0238 多场景下城市轨道交通客流精准诱导系统 2021SRBJ0004 |
获奖与荣誉
2022年 福建省科学技术奖 三等奖(2/5) 网络化客流需求条件下的城 市轨道交通智能运输关键技术及决策平台
2023.1-2026.12 北京交通大学 青年英才I类 2022年 中国城市轨道交通科技进步奖 一等奖 轨道交通一体化智慧平台关键技术研究与示范应用
2022年 中国铁道学会科学技术奖 二等奖(排名第6)基于发达完路网下的运输生产力布局优化研究 2022年 智瑾奖优秀青年教师 2021年 中国城市轨道交通科技进步奖 一等奖(排名第5/18) 城市轨道交通智能运输关键技术及决策支持平台 2019年 北京交通大学詹天佑专项奖 2019年 北京市科学技术进步奖 二等奖(排名第5/10) 超大规模轨道交通路网运输组织协同关键技术及工程应用 2018年 中国智能交通协会 二等奖(排名第5)城轨网络化运营评估优化关键技术及辅助决策系统研制 2018年 中国铁道学会 三等奖(排名第9)新线运输生产力布局理论与方法 2015年 智能交通协会优秀博士论文奖 2015年 北京交通大学校级优秀博士论文 |
社会兼职
北京市科委技术专家, 北京市城市交通信息智能感知与服务工程技术研究中心技术带头人 中国公路学会自动驾驶分会委员 交通运输工程学报 青年编委 铁道科学与工程学报 青年编委 JAT 期刊客座编辑 国家基金委项目评审专家; Smart and Resilient Transportation 主编助理 审稿人: Transportation Science Transportation research part B Transportation research part C Transportation research part E
IEEE Transactions on Intelligent Transportation Systems
Reliability Engineering & System Safety Journal of Clean Production IET Intelligent Transport Systems Expert systems and Application
International Journal of Sustainable Transportation Transportmetrica A International Journal of Logistics Management
Promet &Transportation Proceedings of the Institution of Civil Engineers - Transport 西南交大学报 中国铁道科学
交通运输工程学报 |