Impact of Passenger Trains in Double Track Networks

Sogin, Samuel L.; Barkan, Christopher P. L.; Lai, Yung‐Cheng; Saat, Mohd Rapik

doi:10.1115/jrc2012-74135

Cited by 6 publications

(9 citation statements)

References 2 publications

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“…If the range for traffic volume was 8 to 56 trains per day, then traffic volume may have shown a larger relative effect on train delays. Additionally, as demonstrated in previous work, a 100% double track line with homogenous traffic should have no delays under the traffic levels used for this analysis [8]. By only looking in the range of 25% to 75% freight trains, the effect of heterogeneity may be underestimated.…”

Section: Future Workmentioning

confidence: 86%

“…A faster-high-priority train may need to use the second track in the opposing direction to overtake a slower train. Double track configurations have delay distributions similar to exponential distributions with many trains operating close to the minimum run time [8]. Because single and double track configurations have different delay response models, there must be a potential transition function to describe how a single-track line may transition into a doubletrack line.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Progression From Single to Double Track Networks

Sogin

Dick

Lai

et al. 2013

2013 Joint Rail Conference

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Long term demand for rail transportation in North America is projected to increase considerably in the coming decades. A significant portion of the routes in the United States are single track with passing sidings. Eventually, the second mainline track will become necessary to maintain network fluidity. However, the full funding for the second track may not be available all at once; subsequently the track can be phased in over time creating a hybrid track configuration. Depending upon the traffic characteristics, traffic will transition from a delay characteristic of single track to a delay characteristic of double track. A response surface model was developed that tested various factors including the amount of second main track added, traffic volume, traffic composition, and the speed differential between train types. Design of experiments software (JMP) was used in conjunction with railway simulation software (Rail Traffic Controller) to conduct the analysis. The benefit of full double track can be realized for high priority trains with partial double-track. However, the low priority traffic may not experience double-track-like performance until nearly the entire second mainline track is installed. The results suggest a linear relationship between miles of second mainline track added and reduction in train delay. The maximum speed of the freight train has a great impact on train delays in a congested network. These results further the understandings of key mainline interactions between passenger and freight trains. In addition the models presented will facilitate the development of an optimal incremental upgrade model for capacity expansion. Also, the methodology presented can be adopted to analyze the progression from double to triple track.

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Section: Future Workmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Analyzing the Progression From Single to Double Track Networks

Sogin

Dick

Lai

et al. 2013

2013 Joint Rail Conference

Self Cite

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“…The second main track may be used by the high-priority train to overtake slower trains, resulting in an exponential delay distribution where many trains operate close to the minimum run time. 11 There has been limited research on hybrid track configurations. Petersen and Taylor 12 used simulation to locate longer passing sidings in order to accommodate passenger trains on a freight line.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the transition from single- to double-track railway lines with nonlinear regression analysis

Sogin

Lai

Dick

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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The demand for freight rail transportation in North America is anticipated to substantially increase in the foreseeable future. Additionally, government agencies seek to increase the speed and frequency of passenger trains operating on certain freight lines, further adding to demand for new railway capacity. The majority of the North American mainline railway network is single track with passing sidings for meets and passes. Expanding the infrastructure by constructing additional track is necessary to maintain network fluidity under increased rail traffic. The additional track can be constructed in phases over time, resulting in hybrid track configurations during the transition from purely single track to a double-track route. To plan this phased approach, there is a need to understand the incremental capacity benefit as a single-track route transitions to a two-main-track route in the context of shared passenger and freight train operations. Consequently, in this study, the Rail Traffic Controller software is used to simulate various hybrid track configurations. The simulations consider different operating conditions to capture the interaction between traffic volume, traffic composition and speed differences between train types. A nonlinear regression model is then developed to quantify the incremental capacity benefit of double-track construction through exponential delay–volume relationships. Adding sections of double track reduces train delay linearly under constant volume. This linear delay reduction yields a convex increase in capacity as double track is installed. These results allow railway practitioners to make more-informed decisions on the optimal strategy for incremental railway capacity upgrades.

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“…Their model included both single and double track corridors, as well as other network parameters, such as trains length, speed limits, and train headways. Sogin et al [57] recently used RTC to simulate several case studies at University of Illinois, Urbana-Champaign. One of their studies evaluated the impact of passenger trains along U.S. shared-use double track corridors, considering different speed scenarios.…”

Section: Studies With Simulation and Combined Approachmentioning

confidence: 99%

Railroad capacity tools and methodologies in the U.S. and Europe

Pouryousef

Lautala

White³

2015

J. Mod. Transport.

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A growing demand for passenger and freight transportation, combined with limited capital to expand the United States (U.S.) rail infrastructure, is creating pressure for a more efficient use of the current line capacity. This is further exacerbated by the fact that most passenger rail services operate on corridors that are shared with freight traffic. A capacity analysis is one alternative to address the situation and there are various approaches, tools, and methodologies available for application. As the U.S. continues to develop higher speed passenger services with similar characteristics to those in European shared-use lines, understanding the common methods and tools used on both continents grows in relevance. There has not as yet been a detailed investigation as to how each continent approaches capacity analysis, and whether any benefits could be gained from cross-pollination. This paper utilizes more than 50 past capacity studies from the U.S. and Europe to describe the different railroad capacity definitions and approaches, and then categorizes them, based on each approach. The capacity methods are commonly divided into analytical and simulation methods, but this paper also introduces a third, ''combined simulationanalytical'' category. The paper concludes that European rail studies are more unified in terms of capacity, concepts, and techniques, while the U.S. studies represent a greater variation in methods, tools, and objectives. The majority of studies on both continents use either simulation or a combined simulation-analytical approach. However, due to the significant differences between operating philosophy and network characteristics of these two rail systems, European studies tend to use timetable-based simulation tools as opposed to the non-timetable-based tools commonly used in the U.S. rail networks. It was also found that validation of studies against actual operations was not typically completed or was limited to comparisons with a base model.

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Impact of Passenger Trains in Double Track Networks

Cited by 6 publications

References 2 publications

Analyzing the Progression From Single to Double Track Networks

Analyzing the Progression From Single to Double Track Networks

Analyzing the transition from single- to double-track railway lines with nonlinear regression analysis

Railroad capacity tools and methodologies in the U.S. and Europe

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