Modeling Train Delays in Urban Networks

Higgins, Andrew; Kozan, Erhan

doi:10.1287/trsc.32.4.346

Cited by 111 publications

(38 citation statements)

References 7 publications

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“…Unplanned changes in the train timetable and train-track assignment are common in most railway systems around the world (Higgins and Kozan, 1998;Cule et al, 2011). For highly inter-connected timetables or dense railway traffic, a single delayed train may cause a domino effect of secondary delays due to infrastructure restrictions, connection constraints or logistics.…”

Section: Data Sourcesmentioning

confidence: 99%

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Hänseler

Molyneaux

Bierlaire

2017

Transportation Science

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1We present a framework for estimating pedestrian demand within a train station. It takes into account ridership data, and various direct and indirect indicators of demand. Such indicators may include link flow counts, density measurements, survey data, historical or other information. The problem is considered in discrete time and at the aggregate level, i.e., for groups of pedestrians associated with the same origin-destination pair and departure time interval. The formulation is probabilistic, allowing to consider the stochasticity of demand. A key element of the framework is the use of the train timetable to better capture demand peaks. A case study analysis of a Swiss train station underlines its practical applicability. Compared to a classical estimator that ignores the notion of a train timetable, the gain in accuracy in terms of RMSE is between 20% and 50%. More importantly, the incorporation of the train schedule allows for prediction when little or no data besides the timetable and ridership information is available.

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Section: Data Sourcesmentioning

confidence: 99%

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Hänseler

Molyneaux

Bierlaire

2017

Transportation Science

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“…Petersen [45] times, equal spacing between sidings, and constant delays between two trains. Higgins et al [46] developed a model in 1998 for urban rail networks to evaluate the delays of trains by considering different factors such as trains' schedule, track links, sidings, crossings, and the directional/bidirectional operation patterns throughout the network.…”

Section: Studies With Analytical 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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“…They divided the line into track segments representing the stretches of track between adjacent switches and developed algebraic relationships to represent the model logic. Higgins and Kozan [1998] proposed an analytical model to quantify the positive delay for individual passenger trains on the track links in an urban rail network. They also developed a schedule time-driven simulation model with fixed routing to validate their analytical model.…”

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confidence: 99%

Modeling train movements through complex rail networks

Lü

Dessouky

Leachman

2004

ACM Trans. Model. Comput. Simul.

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Trains operating in densely populated metropolitan areas typically encounter complex trackage configurations. To make optimal use of the available rail capacity, some portions of the rail network may consist of single-track lines while other locations may consist of double- or triple-track lines. Because of varying local conditions, different points in the rail network may have different speed limits. We formulate a graphical technique for modeling such complex rail networks; and we use this technique to develop a deadlock-free algorithm for dispatching each train to its destination with nearly minimal travel time while (a) abiding by the speed limits at each point on each train's route, and (b) maintaining adequate headways between trains. We implemented this train-dispatching algorithm in a simulation model of the movements of passenger and freight trains in Los Angeles County, and we validated the simulation as yielding an adequate approximation to the current system performance.

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Modeling Train Delays in Urban Networks

Cited by 111 publications

References 7 publications

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Estimation of Pedestrian Origin-Destination Demand in Train Stations

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

Modeling train movements through complex rail networks

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