Semi-Quantitative Risk Assessment of Adjacent Track Accidents on Shared-Use Rail Corridors

Lin, Chen-Yu; Saat, Mohd Rapik

doi:10.1115/jrc2014-3773

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…Some previous studies used the number of railcars derailed as the severity proxy [3][4][5]26 and some used the number of casualties as the severity proxy. 14,27 For hazardous material transportation, the number of tank cars releasing was used to measure the severity. 2,12,13,28,29 In some train collisions, even though there are no casualties, there exist damage costs due to infrastructure damages, etc.…”

Section: Severity Analysismentioning

confidence: 99%

Analysis of freight train collision risk in the United States

Turla

Liu

Zhang

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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Rail transportation is pivotal for the national economy. Despite being rare, a train accident can potentially result in severe consequences, such as infrastructure damage costs, casualties, and environmental impacts. An understanding of accident frequency, severity, and risk is important for rail safety management. In the United States, extensive prior research has focused on risk analyses of train derailments and highway–rail grade crossing accidents. Relatively less work has been conducted regarding train collision risk. The US Federal Railroad Administration identifies various accident causes, among which the authors of this study have analyzed the major collision causes. For each major accident cause, the authors have analyzed its resultant collision frequency, severity (in terms of damage cost or casualties), and correspondingly the risk, which is the combination of the frequency and severity. The analysis was based on train collision data in the United States from 2001 to 2015. This analysis focuses on freight trains in the United States, due to their immense traffic exposure. On the temporal scale, collision rate (the number of collisions normalized by traffic exposure) has an approximately 5% annual reduction. In terms of collision cause, failures to obey signals, overspeeds, and violations of mainline operating rules accounted for more collisions than other causes. Two alternative risk measures, namely the expected consequence and conditional value at risk, were used to evaluate the freight train collision risk on main tracks, accounting for both the average and worst-case scenarios. This collision risk analysis methodology may provide the US Department of Transportation and railroad industry with information and decision support for identifying, evaluating, and implementing cost-effective risk mitigation strategies.

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Section: Severity Analysismentioning

confidence: 99%

Analysis of freight train collision risk in the United States

Turla

Liu

Zhang

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…Shared passenger and freight corridors, known as joint corridors or mixed traffic lines, are becoming more common nowadays and require more attention for maintaining rail network safety and reliability. Lin and Saat. (2017) classified these corridors into three categories: 1) shared track; 2) shared right of way, and 3) shared corridor.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, shared right of way refers to a system marked by sharing of the infrastructure only. Lin and Saat (2017) recommended that shared track rail corridors must provide an efficient use of existing infrastructure and smooth transfer of freight and passengers. Joint corridors can face several different types of operational challenges.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Dynamic Behavior of Track Transitions Along Shared Track Corridors

Hou²,

Mishra

et al. 2021

Front. Built Environ.

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This paper presents findings from an analytical modeling effort undertaken to study the dynamic response of track transitions along shared-track corridors. A recently developed train-track-bridge model was used for this purpose. First, the model predictions are verified using field instrumentation data as well as data from other published literatures. Subsequently, the model is used to analyze the dynamic response of a typical bridge approach under the passage of a high-speed passenger train as well as six different freight trains comprising different freight car types. A speed sensitivity analysis of a freight train comprising one specific freight car type is also carried out. Geometric configuration of different freight trains is assessed as well as weight and speed of operation. Different track response parameters, including vertical displacement and rail-tie reaction force, are considered to highlight the differences in the track dynamic behavior under freight and passenger train loading. Analyses in both time and frequency domains illustrate the difference in track behavior under freight and passenger train loading. The significance of gap development at the tie-ballast interface near track transitions has been emphasized by illustrating the effect of tie gap on the dynamic track behavior. The paper concludes by emphasizing the importance of special consideration to track dynamic behavior for shared-track corridors.

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“…These examples of ATAs represent a potential hazard to both freight and passenger train operation in which one or more derailed rail cars or locomotives intrude upon adjacent tracks and collide with, or are struck by, another train operating on the adjacent tracks at the time of the initial accident (3). The potential for passenger train ATAs has increased in recent years because of expanded passenger services for which these trains share trackage, right-of-way, and corridors with existing freight railroad lines.…”

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confidence: 99%

Fault Tree Analysis of Adjacent Track Accidents on Shared-Use Rail Corridors

Lin

Saat

Barkan

2016

Transportation Research Record

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Adjacent-track accidents (ATAs) have been identified as an important hazard on shared-use rail corridors. In these train accidents derailed railroad equipment intrudes on (fouls) an adjacent track, disrupts operations, and potentially causes a collision with trains operating on the fouled tracks. Derailments without intrusion may cause equipment and infrastructure damage, passenger casualties, and disturbances to system operation; however, an intrusion may be even more severe because of the potential involvement of multiple trains. Opportunities for ATAs have increased in recent years because of expanded passenger and transit service on freight railroad trackage, right-of-way, and corridors and because of increased multiple tracks related to capacity expansion projects. This paper presents a probabilistic risk assessment methodology for analyzing ATA risk. An event tree is created to identify scenarios for ATAs, and a fault tree analysis is performed to identify basic events that contribute to such accidents. The quantitative probability of an ATA is derived by using Boolean algebra on the basis of the results of the fault tree analysis.

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Semi-Quantitative Risk Assessment of Adjacent Track Accidents on Shared-Use Rail Corridors

Cited by 6 publications

References 4 publications

Analysis of freight train collision risk in the United States

Analysis of freight train collision risk in the United States

Modeling the Dynamic Behavior of Track Transitions Along Shared Track Corridors

Fault Tree Analysis of Adjacent Track Accidents on Shared-Use Rail Corridors

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