Analyzing the theoretical capacity of railway networks with a radial-backbone topology

Ortega, Francisco A.; Barrena, Eva; Canca, David; Laporte, Gilbert

doi:10.1016/j.tra.2015.03.018

Cited by 12 publications

(8 citation statements)

References 23 publications

(23 reference statements)

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“…Do train combinations until there are no trains matching the combination principle and go to step 4. The combination methods are based on the algorithm which is put forward by (18). Trains reaching the maximum train capacity (M max ) would quit iteration and be put into set TD p e s i , s i 0 .…”

Section: Methodsmentioning

confidence: 99%

A Bi-Level Passenger Preference-Oriented Line Planning Model for High-Speed Railway Operations

Yang

Wen

et al. 2018

Transportation Research Record: Journal of the Transportation R

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To solve bottlenecks and capacity shortages in railway corridors, it is necessary to consider passengers’ temporal-spatial preferences in conjunction with train dispatching decisions at the line planning stage. A design of the departure and stop plans which is based on the passengers’ preferences would guarantee a high quality of service. This paper presents a line planning optimization model for high-speed railway (HSR) operations that addresses both the operating costs of lines and passengers’ preferences through a bi-level integer programming (IP) problem. Using actual travel data from the Shenzhen–Changsha HSR in China, we investigate passengers’ travel behavior during different time periods and between several origin and destination (OD) pairs to characterize their spatial-temporal preferences. An IP model is then developed that maximizes the degree of passenger departure time satisfaction (DTS) at the higher level and the operating costs of lines at the lower level. Due to the complexity of the problem, a methodology is proposed to find a conflict-free solution for the proposed model to find train frequencies in each block and their stop plans at each station between the upper- and lower-level models. It is shown that a given passenger trip demand between an origin and a destination could become more flexible by analyzing its time characteristics and the DTS. Finally, a case study is presented to show the effectiveness of the model and the solution approach.

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Section: Methodsmentioning

confidence: 99%

A Bi-Level Passenger Preference-Oriented Line Planning Model for High-Speed Railway Operations

Yang

Wen

et al. 2018

Transportation Research Record: Journal of the Transportation R

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“…In order to solve the station carrying capacity problem with an integer linear programming model was created in [35], while mechanism for optimization of capacity of the main corridor within a railway was developed in [36], while in [37] an optimization algorithm RECIFE-SAT suitable for quantification of capacity by solving the saturation problem adding as many trains as possible to an existing (possibly empty) timetable was proposed.…”

Section: Optimization Methodsmentioning

confidence: 99%

Application of Multicriteria Decision-Making Methods in Railway Engineering: A Case Study of Train Control Information Systems (TCIS)

Djordjević¹,

Krmac²

2018

Modern Railway Engineering

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In order to improve its position in the transport market railway, as a complex system, it has to fulfill a number of objectives such as increased capacity and asset utilization, improved reliability and safety, higher customer service levels, better energy efficiency and fewer emissions, along with increased economic viability and profits. Some of these objectives call for the implementation of maximum values, while some of them require minimum values. Additionally, some can be expressed quantitatively, while some, for example, customer service, can be described qualitatively through a descriptive scale of points. The application of MCDM in railway engineering can play a significant role. Therefore, the major objective of this chapter is the review of the application of MCDM methods in railway engineering. As one of the means in achieving the objectives of railways and above all the utilization of capacity are Train Control Information Systems (TCIS). Based on that, the aim of this chapter is the evaluation of the efficiency of TCIS in the improvement of railway capacity utilization through defined technical-technological indicators. The non-radial Data Envelopment Analysis (DEA) model for the evaluation of TCIS efficiency in improvement of utilization of railway capacity using the selected indicators is proposed. The proposed non-radial DEA model for TCIS efficiency evaluation in using railway capacity could be applied to an overall network or for separate parts of railway lines.

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“…Researchers around the world have studied E/L mode in urban rail transit systems. Cao et al [2], Ghoseiri et al [3], and Riejos et al [4] studied stop plans of express trains from the perspective of passenger travel efficiency and found the following: (1) Allowing express trains to skip stations can effectively reduce both the train turnaround times and the travel times of passengers on long journeys; and (2) using reasonable schedules that allow express trains to overtake local trains can maximize route capacity. Suh et al [5] developed a model incorporating several factors (e.g., inter-station distances, changes in passenger flow, and departure intervals) to optimize the stop plan for an E/L mode of the Seoul subway system and found that while operating both express and local trains during peak periods increased the passenger wait time t wait , this mode of operation reduced the total passenger travel time t total .…”

Section: Introductionmentioning

confidence: 99%

Optimization of Stop Plan for Skip-Stop Operation on Suburban Railway Line

Qing-huai

Huang

et al. 2021

Applied Sciences

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A combination of express and local trains (E/L mode) is generally used to operate a suburban rail service, it can meet the rapid and direct service needs of long-distance travelers as well the needs of short-distance travelers. Generally, a stop plan is the core of the E/L mode. A stop plan optimization model in E/L mode, which aims to minimize the total passenger travel time and the number of operating trains during the peak period with the safe headway and departure frequency constraints, is proposed in this study. Meanwhile, an algorithm based on a genetic algorithm is designed to solve the proposed model. A case study of the Jiangjin Line, a suburban railway in Chongqing, China, is carried out. The results show the efficiency and feasibility of the proposed method. The calculation results also show that the total passenger travel time under E/L mode with the overtaking condition is significantly reduced compared with the all-stops (AS) mode and E/L mode without overtaking condition. The superiority of the E/L mode can be enhanced by reducing the dwell time at stations and adopting the overtaking condition.

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Analyzing the theoretical capacity of railway networks with a radial-backbone topology

Cited by 12 publications

References 23 publications

A Bi-Level Passenger Preference-Oriented Line Planning Model for High-Speed Railway Operations

A Bi-Level Passenger Preference-Oriented Line Planning Model for High-Speed Railway Operations

Application of Multicriteria Decision-Making Methods in Railway Engineering: A Case Study of Train Control Information Systems (TCIS)

Optimization of Stop Plan for Skip-Stop Operation on Suburban Railway Line

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