Integrated optimization of demand-driven timetable, train formation plan and rolling stock circulation with variable running times and dwell times

Yaqiong, Zhao; Li, Dewei; Yin, Yilong; Zhao, Xiaoli

doi:10.1016/j.tre.2023.103035

Cited by 10 publications

(2 citation statements)

References 43 publications

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“…Shao et al [17] comprehensively optimized a train schedule and stopping plan with the aim of minimizing the weighted values of travel time and equity performance. Zhao et al [18] proposed a multi-objective mixed-integer nonlinear programming model based on a space-time network, with the aim of minimizing costs while simultaneously optimizing a train schedule and train coupling plan. Zhang et al [19] set up a mixed-integer linear programming model with the aim of minimizing both the train running cost and the total travel time, and solved for the optimal passenger allocation plan, train running schedule and stopping plan.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Mixed Group Train Operation for Heavy-Haul Railway Transportation: A Case Study in China

Zhuo,

Chen,

Yuan

2023

Mathematics

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Group train operation (GTO) applications have reduced the tracking intervals for overloaded trains, and can affect the efficiency of rail transport. In this paper, we first analyze the differences between GTO and traditional operation (TO). A new mathematical model and simulated annealing algorithm are then used to study the problem of mixed group train operation. The optimization objective of this model is to maximize the transportation volume of special heavy-haul railway lines within the optimization period. The main constraint conditions are extracted from the maintenance time, the minimum ratio of freight volume, and the committed arrival time at each station. A simulated annealing algorithm is constructed to generate the mixed GTO plan. Through numerical experiments conducted on actual heavy-haul railway structures, we validate the effectiveness of the proposed model and meta-heuristic algorithm. The results of the first contrastive experiment show that the freight volume for group trains is 37.5% higher than that of traditional trains, and the second experiment shows a 30.6% reduction in the time during which the line is occupied by trains in GTO. These findings provide compelling evidence that GTO can effectively enhance the capacity and reduce the transportation time cost of special heavy-haul railway lines.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing Mixed Group Train Operation for Heavy-Haul Railway Transportation: A Case Study in China

Zhuo,

Chen,

Yuan

2023

Mathematics

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“…To achieve the timetables rationalization or optimization, it is necessary to apply modelling methods used in transport processes. Based on the outputs and results of these scientific methods, a new systematic concept of timetables on the Bratislava / Vienna -Prague railway transport route will be proposed [5,6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Timetables on the Prague – Bratislava / Vienna and Rail Transport Route in the Post-Pandemic Period

Dedík

Gašparík

Bulková

et al. 2023

LOGI – Scientific Journal on Transport and Logistics

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Due to the COVID-19 pandemic, the demand for public passenger transport has decreased significantly in many European countries since March 2020. Due to several measures and restrictions adopted, this decrease was particularly pronounced in international long-distance transport due to several restrictions and measures adopted. A significant decrease in demand could also be observed on the international rail transport route Bratislava / Vienna – Prague in the form of the decline in the number of transported passengers on this railway line. Therefore, it is very important and necessary to propose various measures to increase the demand and achieve a significant long-term increase in the number of passengers in long-distance rail transport not only on the mentioned transport route. This paper analyses the impacts of the COVID-19 pandemic on passenger transport usage frequency and proposes solutions to improve the quality of the timetables. It deals with the long-term and systematic concept of international long-distance passenger rail transport on the Prague – Bratislava / Vienna and back in the post-pandemic period. For this purpose, specific scientific methods are selected, which can be applied in order to rationalize and optimize train timetables.

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Integrating stop planning, timetabling and rolling stock planning on high-speed railway lines: A multi-objective optimization approach

Yang,

Li,

Wang

et al. 2024

Expert Systems with Applications

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Integrated optimization of demand-driven timetable, train formation plan and rolling stock circulation with variable running times and dwell times

Cited by 10 publications

References 43 publications

Optimizing Mixed Group Train Operation for Heavy-Haul Railway Transportation: A Case Study in China

Optimizing Mixed Group Train Operation for Heavy-Haul Railway Transportation: A Case Study in China

Optimization of Timetables on the Prague – Bratislava / Vienna and Rail Transport Route in the Post-Pandemic Period

Integrating stop planning, timetabling and rolling stock planning on high-speed railway lines: A multi-objective optimization approach

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