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2020 – today
- 2024
[j14]Tao Feng
, Richard Martin Lusby, Yongxiang Zhang, Qiyuan Peng:
Integrating train service route design with passenger flow allocation for an urban rail transit line. Eur. J. Oper. Res. 313(1): 146-170 (2024)- [j13]Dian Wang, Andrea D'Ariano, Jun Zhao, Shuguang Zhan, Qiyuan Peng:
Joint rolling stock rotation planning and depot deadhead scheduling in complicated urban rail transit lines. Eur. J. Oper. Res. 314(2): 665-684 (2024) - [j12]Jinqu Chen, Bo Du, Hao Hu, Yong Yin, Qiyuan Peng:
Urban rail transit disruption management based on passenger guidance and extended bus bridging service considering uncertain bus running time. Expert Syst. Appl. 249: 123659 (2024) - 2023
- [c2]Jinqu Chen, Mengfan Yue, Bo Du, Qiyuan Peng, Yong Yin:
Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation. ITSC 2023: 277-282 - 2022
- [j11]Dian Wang, Andrea D'Ariano, Jun Zhao, Qingwei Zhong, Qiyuan Peng:
Integrated rolling stock deadhead routing and timetabling in urban rail transit lines. Eur. J. Oper. Res. 298(2): 526-559 (2022) - [j10]Jie Luo, Qiyuan Peng, Chao Wen, Wen Wen, Ping Huang:
Data-driven decision support for rail traffic control: A predictive approach. Expert Syst. Appl. 207: 118050 (2022) - [j9]Cong Xiu, Yichen Sun, Qiyuan Peng, Cheng Chen, Xunquan Yu:
Learn traffic as a signal: Using ensemble empirical mode decomposition to enhance short-term passenger flow prediction in metro systems. J. Rail Transp. Plan. Manag. 22: 100311 (2022) - [j8]Jia Ning, Qiyuan Peng, Yongqiu Zhu, Yu Jiang, Otto Anker Nielsen:
A Bi-objective optimization model for the last train timetabling problem. J. Rail Transp. Plan. Manag. 23: 100333 (2022) - [j7]Cong Xiu, Yichen Sun, Qiyuan Peng:
Modelling traffic as multi-graph signals: Using domain knowledge to enhance the network-level passenger flow prediction in metro systems. J. Rail Transp. Plan. Manag. 24: 100342 (2022) - [j6]Jinqu Chen, Jie Liu, Bo Du, Qiyuan Peng, Yong Yin:
Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances. IEEE Trans. Intell. Transp. Syst. 23(12): 24841-24853 (2022) - [c1]Cong Xiu, Shuguang Zhan, Qiyuan Peng:
MD-STCN: A deep learning-based architecture considering multivariate disturbances for metro passenger flow prediction. ITSC 2022: 3111-3116 - 2021
- [j5]Dian Wang, Jun Zhao, Andrea D'Ariano, Qiyuan Peng:
Simultaneous node and link districting in transportation networks: Model, algorithms and railway application. Eur. J. Oper. Res. 292(1): 73-94 (2021) - 2020
- [j4]Ping Huang, Chao Wen, Liping Fu, Qiyuan Peng, Yixiong Tang:
A deep learning approach for multi-attribute data: A study of train delay prediction in railway systems. Inf. Sci. 516: 234-253 (2020)
2010 – 2019
- 2019
- [j3]Wenxin Li, Qiyuan Peng, Chao Wen, Xinyue Xu:
Comprehensive Optimization of a Metro Timetable Considering Passenger Waiting Time and Energy Efficiency. IEEE Access 7: 160144-160167 (2019) - [j2]Gongyuan Lu, Xuesong Zhou, Monirehalsadat Mahmoudi, Tie Shi, Qiyuan Peng:
Optimizing resource recharging location-routing plans: A resource-space-time network modeling framework for railway locomotive refueling applications. Comput. Ind. Eng. 127: 1241-1258 (2019) - 2016
- [i1]Gongyuan Lu, Xuesong Zhou, Qiyuan Peng, Bisheng He, Monirehalsadat Mahmoudi, Jun Zhao:
Solving Resource Recharging Station Location-routing Problem through a Resource-space-time Network Representation. CoRR abs/1602.06889 (2016) - 2014
- [j1]Qiyuan Peng, Chao Wen, Chaozhe Jiang, Yanling Wei:
Collaborative Mechanism of High-Speed Railway Dispatching System. Intell. Autom. Soft Comput. 20(4): 637-649 (2014)
Coauthor Index
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