Searched for: author%3A%22Meng%2C+Lingyun%22
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document
Zhao, Kangqi (author), Wang, Yihui (author), Ding, Miaomiao (author), Li, Shukai (author), Quaglietta, E. (author), Meng, Lingyun (author)
More and more people in big cities choose urban rail transit as the main means of public transportation. With the increasing unbalanced passenger flow in time and space, the traditional operation mode with fixed train formation (or composition) is difficult to satisfy the varying passenger demands. This paper distinguishes different train...
conference paper 2022
document
Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. In Part 1 of the paper (Luan et al., 2018), three integrated optimization problems, namely the P<sub>NLP</sub> problem (NLP: nonlinear programming), the P<sub...
journal article 2018
document
Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. Three innovative integrated optimization approaches for real-time traffic management that inherently include train control are developed to deliver both a train...
journal article 2018
document
Centulio, G. (author), Meng, Lingyun (author), D'Ariano, Andrea (author), Corman, F. (author)
This work addresses a tactical railway traffic management problem focused on the opti-mization of train dispatching decisions and timing decisions related to short-term main-tenance works in a railway network subject to disturbed process times. This is modeled as a mixed-integer programming formulation in which the traffic flow and track mainten...
abstract 2017
Searched for: author%3A%22Meng%2C+Lingyun%22
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