Timetable coordination of first trains in urban railway network: A case study of Beijing

Guo, Xin; Wu, Jianjun; Sun, Huijun; Liu, Ronghui; Gao, Ziyou

doi:10.1016/j.apm.2016.04.004

Cited by 67 publications

(34 citation statements)

References 28 publications

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“…According to Constraints (12) and (13) departures that are planned for a period do not violate the corresponding time interval. The presented mathematical formulation is the most comprehensive form which can be simplified for implementation purposes.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Synchronization decreases the waiting times of passengers transferring between lines of a network; thus, can lead to a higher level of service and encourages more people to use public transportation. Therefore, synchronization is a common objective which has gained much attention and has been studied in other modes of transportation too, e.g., urban railway networks [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Synchronized Timetables for Bus Rapid Transit Networks in Small and Large Cities

et al. 2019

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The quality of public transportation service has major effects on people's quality of life. During frequency and timetable setting, as an important step of the public transportation planning process, there is an important and complicated issue of synchronization which can directly influence the utility and attractiveness of the system; thus,it should be taken into account during the whole planning process, especially during the frequency timetable setting step. In this paper, a mixed-integer nonlinear programming model is proposed that aims at setting timetables on a bus transit network with the maximum synchronization and the minimum number of fleet size. The proposed model is shown to be applicable for both small and large-scale transit networks by employing it for setting timetables on two samples of both sizes. A simple problem is solvedby GAMS Software where the obtained timetable is substantially reasonable. Moreover, the proposed model is used to set timetables through the genetic algorithm on Tehran BRT networks as a real-life instance; then the NSGA-II is used to obtain the Pareto optimal solutions of the problem for five different scenarios.The overall results show that the proposed model is efficient for setting timetables on transit networks of different sizes.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synchronized Timetables for Bus Rapid Transit Networks in Small and Large Cities

et al. 2019

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“…Wu et al (2015) proposed a timetable synchronization optimization model to optimize passengers' waiting time while limiting the waiting time equitably over all transfer station in an urban subway network. Guo et al (2016) proposed a model of timetable coordination of first trains in urban railway networks based on the importance of lines and transfer stations. Guo et al (2017) focused on the timetable optimization problem in the transitional period (from peak to off-peak hours or vice versa).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing last trains timetable in the urban rail network: social welfare and synchronization

Yin

Sun

et al. 2018

Transportmetrica B: Transport Dynamics

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“…However, when it comes to train scheduling (over a large railway network), time efficiency is usually the first priority (Cacchiani and Toth, 2012;Cacchiani et al, 2014;Guo et al, 2016). There have been studies where energy consumption is incorporated in the scheduling process at an aggregated level.…”

Section: Introductionmentioning

confidence: 99%

A multiphase optimal control method for multi-train control and scheduling on railway lines

Liu

2016

Transportation Research Part B: Methodological

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We consider a combined train control and scheduling problem involving multiple trains in a railway line with a predetermined departure/arrival sequence of the trains at stations and meeting points along the line. The problem is formulated as a multiphase optimal control problem while incorporating complex train running conditions (including undulating track, variable speed restrictions, running resistances, speed-dependent maximum tractive/braking forces) and practical train operation constraints on departure/arrival/running/dwell times.Two case studies are conducted. The first case illustrates the control and scheduling problem of two trains in a small artificial network with three nodes, where one train follows and overtakes the other. The second case optimizes the control and timetable of a single train in a subway line. The case studies demonstrate that the proposed framework can provide an effective approach in solving the combined train scheduling and control problem for reducing energy consumption in railway operations.

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Timetable coordination of first trains in urban railway network: A case study of Beijing

Abstract: Abstract

Cited by 67 publications

References 28 publications

Synchronized Timetables for Bus Rapid Transit Networks in Small and Large Cities

Synchronized Timetables for Bus Rapid Transit Networks in Small and Large Cities

Optimizing last trains timetable in the urban rail network: social welfare and synchronization

A multiphase optimal control method for multi-train control and scheduling on railway lines

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