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This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

The purpose of this paper is to propose the application of a decision-making tool for performance evaluation of Indian Railway zones. It basically seeks to analyze the effects of various evaluation criteria on the performance of Indian Railways using a combined multi-criteria decision-making approach which employs decision-making trial and evaluation laboratory (DEMATEL) and “VIse Kriterijumska Optimizacija kompromisno Resenje” (VIKOR) methods.

The performance of 16 Indian Railway zones is first evaluated using DEMATEL method which addresses the inter-relationships between different criteria with the aid of a relationship structure. The VIKOR method which is a compromise ranking approach is then adopted to rank those candidate railway zones. Pareto analysis is also carried out to identify the benchmark railway zones for the under/poor performers so as to improve their operational excellence.

A numerical example from Indian Railways is illustrated and solved for better understanding of the integrated decision-making tool in which the relevant information for the considered railway zones with respect to different evaluation criteria are collected from various websites and Indian Railways annual statistical report. Western and North-Eastern zones, respectively, take the first and the last positions in the derived ranking list. The relevance of selecting different performance indices/evaluation criteria is also discussed.

The application of this integrated methodology would serve as a systematic approach for measurement of the aggregate operational performance of Indian Railway zones so as to gain valuable academic and practical insights. It is also expected to provide an insightful guidance to the railway administrators in taking valuable strategic decisions in promoting the service of Indian Railways.

The integrated DEMATEL-VIKOR method is conceptually simple and easily comprehensible which can consider numerous attributes simultaneously. This paper enables the readers to gain some valuable inputs from a managerial perspective for Indian Railways to formulate strategies for its zones to foster better performance.

According to relevant research, non-uniform speed has a significant impact on the vehicle-track systems. Up to now, research work on it is still very limited. In this paper, the PEM is adopted to further transform it into a deterministic process to solve the vehicle’s problem of running at a non-uniform speed.

The multi-body vehicle model has 10 degrees of freedom and the track is regarded as a finite long beam supported by lumped sleepers and ballast blocks. They are connected via linear Hertz springs. The vertical track irregularity is a Gaussian stationary process in the space domain. It is transformed into a uniformly modulated nonstationary random process in the time domain with respect to the non-uniform vehicle speed. By solving the equation of motion of the coupled vehicle-track system with the pseudo-excitation method, the pseudo-response and consequently the power spectral density and the standard deviation of the structural response can be obtained.

Two kinds of vehicle braking programs are taken in the numerical example and some beneficial conclusions are drawn.

The pseudo-excitation method (PEM) was used to perform the random vibration analysis of a coupled non-uniform speed vehicle-track system. Transforming the track irregularity into a uniformly modulated nonstationary random process in time domain with respect to the non-uniform vehicle speed was undertaken. The pseudo-response of the coupled system is solved by applying the Newmark algorithm with constant space integral steps. The random vibration transfer mechanism of the coupled system is fully discussed.

The purpose of this paper is to develop and empirically test the theory that new industry entrants hold advantages over incumbents in the shift from unidirectional to multi-directional revenue streams.

Using a Cobb-Douglas production function, modified to isolate returns to innovation, the authors examine data from three separate contexts: steamships on Western US rivers (1810-1860), satellite-based internet services (1962-2010) and food waste recycling (1995-2015).

The results reveal that while incumbents often attempt to stretch existing technologies to fit emerging circumstances, entrepreneurial innovators achieve greater success by approaching multi-directional value creation as a distinct challenge, one requiring new technologies, organizational forms and business models. Existing theories have primarily attributed incumb ent inertia to a firm’s inability perceive and pursue radical innovations, the results also suggest that existing firms are unwilling to pursue innovations that are likely to erode the marginal profitability of their respective business models. Ironically, rather than protecting incumbents’ financial interests, the authors find that “marginal reasoning” can lead to diminished performance and even extinction.

The proposed framework and empirical findings have implications for numerous multi-directional frontiers, including: social networking, commercial space travel, distance education and medical treatments using nanoscale technologies.

While incumbents often lament the destabilizing effects of multi-directionality, new and small firms enjoy a compelling array of entry points and opportunities.

Scholars, incumbent firms and start-ups both benefit from insights stemming from the novel formulation of multi-directionality challenges and opportunities.

This study aims to propose an adaptive fractional-order sliding mode controller to solve the problem of train speed tracking control and position interval control under disturbance environment in moving block system, so as to improve the tracking efficiency and collision avoidance performance.

The mathematical model of information interaction between trains is established based on algebraic graph theory, so that the train can obtain the state information of adjacent trains, and then realize the distributed cooperative control of each train. In the controller design, the sliding mode control and fractional calculus are combined to avoid the discontinuous switching phenomenon, so as to suppress the chattering of sliding mode control, and a parameter adaptive law is constructed to approximate the time-varying operating resistance coefficient.

The simulation results show that compared with proportional integral derivative (PID) control and ordinary sliding mode control, the control accuracy of the proposed algorithm in terms of speed is, respectively, improved by 25% and 75%. The error frequency and fluctuation range of the proposed algorithm are reduced in the position error control, the error value tends to 0, and the operation trend tends to be consistent. Therefore, the control method can improve the control accuracy of the system and prove that it has strong immunity.

The algorithm can reduce the influence of external interference in the actual operating environment, realize efficient and stable tracking of trains, and ensure the safety of train control.

This paper aims at developing a set of guidelines for potential inside action researchers (IARrs).

Action research was done in three units of Indian Railways. At each unit two IARrs were engaged. The six IARrs and the author (also an IARr at one of the units) used reflection during action and reflection after action to conduct the action research.

The paper shows that IARrs must carry good credibility, relationships have to be continually worked, ethical clearance must be dynamic to the emerging situations and the IARrs should not emphasize the pattern of their previous interactions with the members of the research world.

The research is based on the action research done in manufacturing units within Indian bureaucracy. The generalization of findings to other organizational set up was not verified.

It brings out specific “dos” and “don'ts” for a prospective IARr.

This paper contributes to the action research method by bringing out new issues faced by IARrs while conducting insider action research in large organizations. With respect to large‐scale change, it brings out that perception of shared world among IARrs facilitates large scale change. Middle managers are better suited as IARr than top managers and an ab‐initio large scale planning is not necessary to cause a large scale change in the long run.

Discusses fire safety management in passenger terminals. Describes the design, development, implementation and validation of a fire safety management model for use in airports, railway and bus stations. The research carried out is based on a comprehensive analysis of 25 terminals (air, bus, rail and sea) in the UK and Europe. Develops the relationship existing between fire risk, people and fire safety management. Although the model is still being reviewed and augmented, it has already produced interesting results and has proved to be an efficient, robust and quantifiable tool for use by fire safety managers.

This paper aims to reschedule the freight train timetable in case of disturbance to restore the train services as soon as possible.

Hence, an integer linear programming model for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The proposed model based on the alternative graph at the microscopic level depicts the freight train movements in detail. Multiple dispatching measures such as re-timing and re-ordering are taken into account. Moreover, two objective functions, namely, the total final delays and the consecutive delays, are minimized in the freight trains dispatching problem.

Finally, a real-world computational experiment based on the Haolebaoji-Ji’an freight heavy-haul railway is implemented. The results of all disrupted cases are obtained within 10 s. The results give insight into that the consecutive delays are more than the total final delays when the same disrupted situation and the consecutive or total final delays increase as the primary delays increase.

An integer linear programming model based on the alternative graph for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The method can be developed as the computer-aided tool for freight train dispatchers.

While transport seems to be increasingly constrained in its mission to supply services which are continuous, costless and available in all directions, the telecommunications system seems to have no such constraints and to be developing ever more rapidly in terms of inter‐connectivity, falling costs and multi‐directionality. It would seem to be impossible to contemplate the future demand for transport in isolation from the future demand for telecommunications and the question of the optimal interaction between the two mobility modes. Reviews the benefits of the different forms of telecommunications and virtual logistics. Investigates the implications for freight logistics and the supply side of the transport industry. Suggests a way to re‐engineer the analytical framework.

In high-speed trains, the energy is supplied from a high voltage catenary to the vehicle via a pantograph catenary system (PCS). Carbon pantograph strips must maintain continuous contact with the wire to ensure safety and reliability. The contact is often confined to a particular spot, resulting in excessive wear due to mechanical and thermal damage, exacerbated by the presence of an electric arc and associated electrochemical corrosion. The effectiveness and reliability of the PCS impacts on the performance and safety of HSTs, especially under high-speed conditions. To alleviate some of these adverse effects, this paper aims to propose a configuration where a circular PCS replaces the currently used pantograph strips.

Two dynamic multi-physics models of a traditional PCS with a carbon strip and a novel PCS with a circular pantograph strip catenary system are established, and the electrical and mechanical characteristics of these two systems are compared. Moreover, a PCS experimental platform is designed to verify the validity and accuracy of the multi-physics model.

A novel circular pantograph system is proposed in this paper to alleviate some of the shortcomings of the traditional PCS. Comparing with a traditional PCS, the circular PCS exhibits superior performance in both electromagnetic and thermal aspects.

The paper offers a new technical solution to the PCS and develops a dedicated multi-physics model for analysis and performance prediction with the aim to improve the performance of the PCS. The new system offers numerous benefits, such as less friction heat, better heat dispersion and improved catenary-tracking performance.