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An Assessment of Railway Capacity

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TLDR
In this paper, an in-depth study of the main factors that in∞uence railway capacity is performed on several Spanish railway infrastructures, and the results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness.
Abstract
In this paper, we review the main concepts and methods to perform capacity analyses, and we present an automated tool that is able to perform several capacity analyses. Capacity is extremely dependent on infrastructure, tra‐c, and operating parameters. Therefore, an in-depth study of the main factors that in∞uence railway capacity is performed on several Spanish railway infrastructures. The results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness. One consequence of the globalization of the economy and the increasing integration of the international economies is a considerable growth in the entire transport sector. During the 1990’s, many countries began to sufier from congestion in certain areas and on certain routes. Nowadays, there is no doubt about the congestion of the transport situation in some countries. The problem is now beginning to threaten economic competitiveness. Greater economic development cannot take place in the current transport scenario unless ambitious measures are taken. Revitalizing the railways is one of the principal measures

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Transit Capacity and Quality-of-Service Manual: Applications to Mexican Transit Systems

TL;DR: In this article, the authors present applications of the Transit Capacity and Quality of Service Manual (TCQSM) methodologies to fixed-route transit systems in Mexico, focusing on the quality of service part of the manual.
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Analysis of subway station capacity with the use of queueing theory

TL;DR: In this paper, a new concept of subway station capacity (SSC) is defined according to the gathering and scattering process, and a queuing network analytical model of station is created for calculating SSC, which is built by M/G/C/C state dependent queuing networks and discrete time Markov chain (DTMC).
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Joint optimal train regulation and passenger flow control strategy for high-frequency metro lines

TL;DR: In this paper, a coupled state-space model for the evolution of the departure time and the passenger load of each train at each station is explicitly developed, under which an optimal control law can be numerically calculated efficiently using a quadratic programming algorithm.
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Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions

TL;DR: The results show that the scheduled capacity consumption improves from the Dutch NS’54/ATB to ETCS Level 2 with short blocks, since the braking distances decrease when delayed trains run at lower speeds, having a stabilizing effect on headway times, delay propagation and throughput.
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Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study

TL;DR: A unified simulation-based algorithm is developed to solve the problem of passenger flow organization in subway stations under uncertain demand and data envelopment analysis (DEA) and genetic algorithms (GA) are embedded in this algorithm to increase computing speed.
References
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Journal ArticleDOI

Modeling and Solving the Train Timetabling Problem

TL;DR: A graph theoretic formulation for the train timetabling problem using a directed multigraph in which nodes correspond to departures/arrivals at a certain station at a given time instant is proposed, used to derive an integer linear programming model that is relaxed in a Lagrangian way.
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Optimal scheduling of trains on a single line track

TL;DR: In this paper, the authors describe the development and use of a model designed to optimise train schedules on single line rail corridors, which is used as a decision support tool for train dispatchers to schedule trains in real time in an optimal way.

Optimal scheduling of trains on a single line track

TL;DR: In this paper, the authors describe the development and use of a model designed to optimise train schedules on single line rail corridors, which is used as a decision support tool for train dispatchers to schedule trains in real time in an optimal way.
Journal ArticleDOI

Models for rail transportation

TL;DR: In this paper, the authors report on the existing literature models for rail transportation with two goals in mind: (a) to collect and categorize rail modelling efforts, and (b) to position the rail-related literature in the context of other transportation models and provide an introduction to this field for nonspecialists.
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The results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness.