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1

A train rescheduling model integrating speed management during disruptions of high-speed traffic under a quasi-moving block system

Transportation Research Part B: Methodology 2017, 104: 638-666.

Peijuan Xu, Francesco Corman, Qiyuan Peng*, Xiaojie Luan

24

2

A rolling horizon approach to the high speed train rescheduling problem in case of a partial segment blockage

Transportation Research Part E: Logistics and Transportation Review 2016, 95: 32-61.

Shuguang Zhan, Leo G.Kroon, Jun Zhao, Qiyuan Peng*

43

3

Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods

Transportation Research Part B: Methodology 2019, 128: 344-379.

Zhang Yongxiang, Peng Qiyuan*, YaoYu, Zhang Xin, Zhou Xuesong

9

4

Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts

IEEE Transactions on Reliability2018, 67(1):370-38

Zizheng Guo,Yufan Pan, Guozhen Zhao*, Shi Cao, Jun Zhang

26

5

Fault Tree and Fuzzy D-S Evidential Reasoning combined approach: an application in railway dangerous goods transportation system accident analysis

Information Sciences. 2020, 520, 117-129.

Huang WC*, Liu YK, Zhang Y, Zhang R, Xu MH, Gatesi JDD, Eric A

3

6

Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach

Reliability Engineering and System Safety,2020,204, 107220.

Huang WC*, Zhang Y*, Kou XY*, Yin DZ, Mi RW, Li LQ*

0

7

Modeling effect of information percolation on pedestrian counter flow with a multi-grid model

Communications in Nonlinear Science and Numerical Simulation 83 (2020): 105072

X Wang, J Chen, J Ma, X Xiao, P Lin, T Li

1

8

A fine discrete field cellular automaton for pedestrian dynamics integrating pedestrian heterogeneity, anisotropy, and time-dependent characteristics

Transportation Research Part C: Emerging Technologies, 91, 37-61

Fu, Z., Jian, Q., Chen, J., Ma, J., Han, K., & Luo, L

20

9

Contribution to the field of traffic assignment: a boundedly rational user equilibrium model with uncertain supply and demand

Socio-Economic Planning Sciences,2020.09.24,Article in Press

Junxiang Xu, Jin Zhang, Jingni Guo

0

10

Modeling and empirical analysis of regional hub-and-spoke road-rail combined transport network based on uncertain cost-time-demand

Journal of Intelligent & Fuzzy Systems, 2020.08.25, Article in Press

Junxiang Xu, Jin Zhang, Jingni Guo

0

 

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