Automatic Scheduling of Monorail Transport System

Antonova, V.M.; Kuznetsov, N. A.; Starostenko, Aleksey; Volkov, D.O.

doi:10.1109/ent.2016.010

Cited by 1 publication

(1 citation statement)

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“…If there are more than one CTT running on a same route, these CTT stop plans can be a little different. Due to the small account of CTTs and the use of a nearly all-stopped train stop plan (which is similar to Chinese ordinary passenger trains), the research of planning and scheduling CTTs (or even CTHSTs) also lacks enough motivation and meaning in Russia; the researches in Russia mainly focus on scheduling for an individual railway line [25][26][27] or an urban rail network [28,29].…”

Section: Literature Reviewmentioning

confidence: 99%

A Multiobjective Integer Linear Programming Model for the Cross-Track Line Planning Problem in the Chinese High-Speed Railway Network

Han

Nie

et al. 2019

Symmetry

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In China, cross-track high-speed trains (CTHSTs) play an important role in railway passenger transportation, with an increasing number of cross-track passengers sourced from the expansion of high-speed railway (HSR) network. The CTHST generally has long travel times, so running CTHSTs is not beneficial for train rescheduling work and plan’s periodicity in the periodic operation context. Thus, the main challenge in cross-track line planning is looking for a symmetry point between passenger transportation and disadvantages of running CTHSTs, which are two conflicting aspects. In this study, we developed a multiobjective integer programming model to produce a balanced cross-track line plan by combining individual-track high-speed trains (ITHSTs) into CTHSTs, which is a discrete optimization problem. This strikes a balance among four goals: the periodicity of the line plan, CTHST quantity, CTHST mileage, and CTHST stops in the context of periodic operation, while satisfying the constraints of passenger demand and the number of available ITHSTs. Numerical experiments are conducted based on a real-world network and optimal solutions were quickly obtained. We analyzed impacts of each goal and parameter on the result and influencing factors of computation. Comparisons with existing methods and real-life plans were also presented to show improvements made by proposed model.

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