scholarly journals A methodology to optimise a rail network specification for maximum passenger satisfaction and reduced initial investment

2022 ◽  
Vol 21 ◽  
pp. 100279
Author(s):  
Bob Hickish ◽  
David I. Fletcher ◽  
Robert F. Harrison
Keyword(s):  
Rail Network ◽  
Passenger Satisfaction

Melbourne's Advanced Rail Transportation

2020 ◽  
Vol 3 (2) ◽  
pp. 24-36
Author(s):  
Koorosh Gharehbaghi ◽  
Ken Farnes ◽  
Matt Myers
Keyword(s):  
Transportation Systems ◽  
Operating Costs ◽  
Rail Transportation ◽  
Operational Flexibility ◽  
Rail Network ◽  
Optimal Decisions ◽  
Commuter Rail ◽  
Passenger Satisfaction ◽  
Selection Of

Melbourne's commuter rail transportation is ageing and outdated. As Melbourne's population is ever-increasing, its rail transportation infrastructure planning also needs to be developed, based on long-term technological advancements. Subsequently, Melbourne's rail network and its systems need to be continuously scrutinized. This study thus reviews Melbourne's advanced rail transportation systems, and determines its future perspectives. This research initially found that, for Melbourne, one of the important aspects of long-term technological innovation is the inclusion of the three specific automation measures of; moderate intrusion control systems; revamp signaling technologies; and new rail lines and systems. Further examination recommended that advanced rail transportation systems including enhanced communications systems, be carefully integrated. Such outcomes will in turn boost Melbourne's rail performance through, a) increase safety and passenger satisfaction; b) enhance system reliability; c) intensify train frequency and capacity; d) improve operational flexibility; and e) reduce the overall operating costs. It is expected that these findings will ultimately assist the relevant rail transportation planners, to make optimal decisions when deciding on the selection of the most advanced rail transportation strategies.

scholarly journals A Novel Rail-Network Hardware Simulator for Embedded System Programming

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Balaji M ◽  
Chandrasekaran M ◽  
Vaithiyanathan Dhandapani
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Real Time ◽  
Learning Outcomes ◽  
Real World ◽  
Time Constraints ◽  
Network Simulator ◽  
Practical Applications ◽  
Rail Network ◽  
Knowledge Enhancement

A Novel Rail-Network Hardware with simulation facilities is presented in this paper. The hardware is designed to facilitate the learning of application-oriented, logical, real-time programming in an embedded system environment. The platform enables the creation of multiple unique programming scenarios with variability in complexity without any hardware changes. Prior experimental hardware comes with static programming facilities that focus the students’ learning on hardware features and programming basics, leaving them ill-equipped to take up practical applications with more real-time constraints. This hardware complements and completes their learning to help them program real-world embedded systems. The hardware uses LEDs to simulate the movement of trains in a network. The network has train stations, intersections and parking slots where the train movements can be controlled by using a 16-bit Renesas RL78/G13 microcontroller. Additionally, simulating facilities are provided to enable the students to navigate the trains by manual controls using switches and indicators. This helps them get an easy understanding of train navigation functions before taking up programming. The students start with simple tasks and gradually progress to more complicated ones with real-time constraints, on their own. During training, students’ learning outcomes are evaluated by obtaining their feedback and conducting a test at the end to measure their knowledge acquisition during the training. Students’ Knowledge Enhancement Index is originated to measure the knowledge acquired by the students. It is observed that 87% of students have successfully enhanced their knowledge undergoing training with this rail-network simulator.

Performance Assessment Study of Indian Railways – Case of Low Efficiencies in Large Government Monopoly

2021 ◽  
pp. 036119812110255
Author(s):  
Sabyasachi S. Roy ◽  
Mukul Kulshrestha
Keyword(s):  
Scientific Basis ◽  
Data Envelopment ◽  
Policy Reforms ◽  
Management Planning ◽  
Rail Network ◽  
The Past ◽  
Assessment Study ◽  
Micro Level ◽  
Global Population ◽  
Financial Losses

Indian Railways is the world’s largest government-owned monopoly, annually carrying passenger numbers that surpass the global population. It is world’s fourth largest rail network after the U.S.A., China, and Russia, and is managed by a separate Ministry of Railways. The operating ratios have consistently been around 90% in the past several years, indicating that that the capability to generate operational surplus is low. Further, its expenditure on staff and their pensions has been increasing. Consequently, capacity growth is increasingly being funded through borrowings, which threatens to further worsen the financial situation. Thus, railway services in India are often perceived as being inefficient and unsatisfactory. However, this perception of inefficient services has no scientific basis as mid- and micro-level efficiency analyses of Indian Railways have never been carried out. This paper adopts a data envelopment analysis (DEA)-based approach to evaluate the performance efficiencies of the 69 divisions of Indian Railways. Six models that deploy a range of performance indicators like operating expenditures, numbers of staff employed or passengers carried, freight carried, rail network length, and revenues generated have been employed to assess efficiencies. The results demonstrate the existence of significant inefficiencies that may possibly be attributed to lack of proper management, planning policies, and mis-governance, resulting in significant financial losses. The paper discusses these issues and the policy reforms needed in the developing country context, while suggesting some reforms that may lead to improved sector performances.

scholarly journals Using train-passing techniques on the rail network to prevent flooding on rivers

2021 ◽  
Vol 1151 (1) ◽  
pp. 012013
Author(s):  
L Haltar ◽  
A V Dmitrenko ◽  
E V Lesnykh ◽  
S A Becher ◽  
N S Buryanina
Keyword(s):  
Rail Network

A real-time control method-based simulation for high-speed trains on large-scale rail network

2017 ◽  
Vol 28 (10) ◽  
pp. 1750126 ◽  
Author(s):  
Yutong Liu ◽  
Chengxuan Cao ◽  
Yaling Zhou ◽  
Ziyan Feng
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
High Speed ◽  
Large Scale ◽  
Simulation Method ◽  
Real Time Control ◽  
Rail Network ◽  
Time Control ◽  
High Speed Trains ◽  
Rail Traffic

In this paper, an improved real-time control model based on the discrete-time method is constructed to control and simulate the movement of high-speed trains on large-scale rail network. The constraints of acceleration and deceleration are introduced in this model, and a more reasonable definition of the minimal headway is also presented. Considering the complicated rail traffic environment in practice, we propose a set of sound operational strategies to excellently control traffic flow on rail network under various conditions. Several simulation experiments with different parameter combinations are conducted to verify the effectiveness of the control simulation method. The experimental results are similar to realistic environment and some characteristics of rail traffic flow are also investigated, especially the impact of stochastic disturbances and the minimal headway on the rail traffic flow on large-scale rail network, which can better assist dispatchers in analysis and decision-making. Meanwhile, experimental results also demonstrate that the proposed control simulation method can be in real-time control of traffic flow for high-speed trains not only on the simple rail line, but also on the complicated large-scale network such as China’s high-speed rail network and serve as a tool of simulating the traffic flow on large-scale rail network to study the characteristics of rail traffic flow.

scholarly journals Rail Diagnostics Based on Ultrasonic Guided Waves: An Overview

2021 ◽  
Vol 11 (3) ◽  
pp. 1071
Author(s):  
Davide Bombarda ◽  
Giorgio Matteo Vitetta ◽  
Giovanni Ferrante
Keyword(s):  
Guided Waves ◽  
Structural Integrity ◽  
Diagnostic Procedures ◽  
Guided Wave ◽  
Rolling Stock ◽  
Technical Literature ◽  
Track Maintenance ◽  
Rail Network ◽  
Ultrasonic Guided Wave ◽  
Maintenance And Inspection

Rail tracks undergo massive stresses that can affect their structural integrity and produce rail breakage. The last phenomenon represents a serious concern for railway management authorities, since it may cause derailments and, consequently, losses of rolling stock material and lives. Therefore, the activities of track maintenance and inspection are of paramount importance. In recent years, the use of various technologies for monitoring rails and the detection of their defects has been investigated; however, despite the important progresses in this field, substantial research efforts are still required to achieve higher scanning speeds and improve the reliability of diagnostic procedures. It is expected that, in the near future, an important role in track maintenance and inspection will be played by the ultrasonic guided wave technology. In this manuscript, its use in rail track monitoring is investigated in detail; moreover, both of the main strategies investigated in the technical literature are taken into consideration. The first strategy consists of the installation of the monitoring instrumentation on board a moving test vehicle that scans the track below while running. The second strategy, instead, is based on distributing the instrumentation throughout the entire rail network, so that continuous monitoring in quasi-real-time can be obtained. In our analysis of the proposed solutions, the prototypes and the employed methods are described.

scholarly journals Assessing the Vulnerability of Irish Rail Network Earthworks

2016 ◽  
Vol 14 ◽  
pp. 1904-1913 ◽  
Author(s):  
Karlo Martinović ◽  
Kenneth Gavin ◽  
Cormac Reale
Keyword(s):  
Rail Network
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