Determining and Evaluating Alternative Line Plans in Out-of-Control Situations

2020 ◽  
Vol 54 (3) ◽  
pp. 740-761
Author(s):  
Rolf N. van Lieshout ◽  
Paul C. Bouman ◽  
Dennis Huisman

From time to time, large disruptions cause heavily utilized railway networks to get into a state of out-of-control, in which hardly any trains are able to run as the result of a lack of accurate and up-to-date information available to dispatchers. In this paper, we develop and test disruption management strategies for dealing with these situations. First, we propose an algorithm that finds an alternative line plan that can be operated in the affected part of the railway network. As the line plan should be feasible with respect to infrastructural and resource restrictions, we integrate these aspects in the algorithm in a Benders-like fashion. Second, to operate the railway system within the disrupted region, we propose several local train dispatching strategies requiring varying degrees of flexibility and coordination. Computational experiments based on disruptions in the Dutch railway network indicate that the algorithm performs well, finding workable and passenger-oriented line plans within a couple of minutes. Moreover, we also demonstrate in a simulation study that the produced line plans can be operated smoothly without depending on central coordination.

2021 ◽  
Vol 310 ◽  
pp. 03003
Author(s):  
Khanh Giang Le ◽  
Quang Hoc Tran

This study aims to explore the applications of Geographical Information System (GIS) technology in managing and analysing the railway networks in Vietnam in a scientific and rational manner, developing the railway industry in a sustainable manner to keep pace with the development speed in the region and in the world. A process of building a GIS project and designing a geodatabase for a GIS project was proposed. From that point, it is suggested to build an experimental database for the railway networks of Vietnam through ArcGIS software 10.2. After that, the authors explored some typical applications of GIS technology for railway network management such as management, safety and security, and selecting optimum routes. The results showed that GIS application in managing railway system brings lots of benefit to not only in the railway sector but also in the transportation field.


2021 ◽  
Author(s):  
Mark M. Dekker ◽  
Rolf N. van Lieshout ◽  
Robin C. Ball ◽  
Paul C. Bouman ◽  
Stefan C. Dekker ◽  
...  

AbstractRailway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing disruption management techniques cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework combining techniques from complexity science and operations research, aiming at reducing the impact of these situations and—if possible—avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations, (ii) isolating a specific region such that delay stops propagating, and (iii) the application of decentralized decision making, more suited for information-sparse out-of-control situations.


Author(s):  
Ratthaphong Meesit ◽  
John Andrews

Railway systems are now facing an increasing number of threats such as aging infrastructures and climate changes. The identification of critical network sections provides infrastructure managers with the ability to understand the impact of a disruption and creates a suitable preventive strategy to counter such threats. To this end, various vulnerability analysis methods have been proposed for railway networks. Two main types of methods, network topological analysis and network flow-based analysis, have been developed. Both approaches are constructed based on macroscopic models, which take only some railway properties such as network structure, train and passenger flow into account. Thus, the results obtained are high level approximations. This study proposes a new analysis method, which is developed based on the stochastic-microscopic railway network simulation model. The method can be applied to identify the critical sections of a railway network. The effect of impact levels and occurrence times of a disruption on the network section criticality is presented. An application of the proposed model is demonstrated using the Liverpool railway network in the UK.


2015 ◽  
Vol 21 (1) ◽  
pp. 65-86 ◽  
Author(s):  
Cecilia Simón ◽  
Jesús Alonso-Tapia

This study analyse the role of disruption management strategies and its effects, in interaction with the classroom motivational climate (CMC), on the decrease of disruptive behaviour and on the perception of teaching quality. For this purpose, the Disruption Management Climate Questionnaire (DMCQ) was developed. A total of 827 Secondary-School students formed the sample. To validate the DMCQ, confirmatory factor and regression analyses were realised. Children’s attribution to teacher’s coping strategies of decrease in disruptive behaviour, and of perceived change in satisfaction with teacher’s work as an index of teaching quality, were used as external criteria. Results support hypotheses related to DMCQ structure, and to its role as predictor of the degree of disruption decrease, but not the hypothesis related to satisfaction with teachers’ work, that depends mainly on CMC. These results underlie the importance of acting on DMCQ and CMC components to favour the teacher practices.


2018 ◽  
Vol 763 ◽  
pp. 1121-1128
Author(s):  
Marco Mezzi ◽  
Gianluca Nestovito ◽  
Paolo Petrella ◽  
Vincenzo Cefaliello

The bridge in Poggio Renatico crossing the Reno river on the railway line between Bologna and Ferrara, consists of steel decks supported by masonry abutments and piers, while foundations and pier caps are made of reinforced concrete. After the 2012 Emilia Earthquake and accounting for the fluvial erosion below the piers foundations, a structural assessment of the bridge was carried out in accordance with to the current Italian rules. Although a sufficient structure capacity against the actual transit loads resulted, the bridge showed some inadequacies with respect to the load models provided by both the national standard for constructions and the guidelines of the Italian railway network company. The retrofitting project consists of an improvement of the structural capacity of all the elements: girders, piers and abutments. An innovative retrofitting solution provides for the strengthening of the existing decks through a suspension system of cables anchored to steel towers standing on both abutments and piers and creating a kind of suspended bridge. The retrofitting is compatible with the normal scheduled interruptions of the rail traffic thereby reducing the maintenance costs of the railway system. The structural solution represents a model easily replicable to solve analogous situations along the railway network.


2019 ◽  
Vol 8 (8) ◽  
pp. 336
Author(s):  
Minmin Li ◽  
Renzhong Guo ◽  
You Li ◽  
Biao He ◽  
Yong Fan

Evaluation of the railway network distribution and its impacts on social and economic development has great significance for building an efficient and comprehensive railway system. To address the lack of evaluation indicators to assess the railway network distribution pattern at the macro scale, this study selects eight indicators—railway network density, railway network proximity, the shortest travel time, train frequency, population, Gross Domestic Product (GDP), the gross industrial value above designated size, and fixed asset investment—as the basis of an integrated railway network distribution index which is used to characterize China’s railway network distribution using geographical information system (GIS) technology. The research shows that, in 2015, the railway network distribution was low in almost half of China’s counties and that there were obvious differences in distribution between counties in the east and west. In addition, multiple dense areas of railway network distribution were identified. The results suggest that it might be advisable to strengthen the connections between large and small cities in the eastern region and that the major urban agglomerations in the midwest could focus on strengthening the construction of railway facilities to increase the urban vitality of the western region. This study can be used to guide the optimization of railway network structures and provide a macro decision-making reference for the planning and evaluation of major railway projects in China.


2019 ◽  
Vol 1 (1) ◽  
pp. 22-36 ◽  
Author(s):  
Chun-fang Lu

Abstract: China’s high-speed railway network has already achieved speeds of 350 km/h; however, this could be further increased to 400 km/h. After considering the development status and technical level of the high-speed railway system in China, this study indicates that there are four key technologies involved in improving its operational speed: the track, the electrical moving unit, the control system and the traction power supply. Through an experimental analysis, an evaluation index for the high-speed railway is then constructed based on four aspects: safety, comfort, intelligence and environmental protection. Using this system, the rationality of the high-speed railway speed-improvement plan can be scientifically evaluated. The results are of practical significance to the Chinese railway administration, as they can be used to formulate specific plans to increase rail speeds, and therefore promote the rapid development of the high-speed railway network in China.


Author(s):  
Wei Wang ◽  
Jun Liu ◽  
Li Haiying ◽  
Xi Jiang

Vulnerability in the Railway system is, studied not only from the perspective of network topology characteristic but also as the problem of the level of service relative to structure, nature damage and traffic attribute. Also, emphasis is put on the function of the system rather than the physical network itself, although some of non-serviceability in the railway network is indeed caused by physical failures. The Vulnerability of railway network is thus a decisive factor not only in terms of connectivity, and serviceability, but also in terms of the transport system performance under dynamic process-traffic which should be acknowledged as an integral element within vulnerability assessment. The paper aims at investigating the most typical factors that affect the vulnerability. The vulnerability analysis must consider each factor separately, and, at the same time, as a whole. A method to measure the vulnerability is proposed. Furthermore, this assessment method is used to analyze the Chinese Railway Network (CRN).


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