Title: Marginal Incident Computation - An Efficient Algorithm to Determine Congestion Spillback due to Incidents
Authors: Corthout, Ruben ×
Tampère, Chris
Immers, Lambertus #
Issue Date: 2009
Publisher: Transportation Research Board, Commission on Sociotechnical Systems, National Research Council, National Academy of Sciences
Series Title: Transportation Research Record issue:2099 pages:22-29
Conference: Annual Meeting of the Transportation Research Board edition:88 location:Washington, D.C. date:9-15 January 2009
Abstract: In studies on the influence of incidents on travel time researchers rely on Monte Carlo simulation. This procedure is very demanding computational-wise, which limits the research scope. This paper presents a highly efficient method for approximately quantifying congestion spillback due to incidents: Marginal Incident Computation (MIC). MIC superimposes the effect of an incident on a single base simulation run (without incidents) instead of carrying out a complete dynamic network loading with the incident, which would involve many calculations identical to the base simulation (e.g. prior to or far away from the incident). Whereas the results obtained with MIC vary only slightly from the outcome of a complete dynamic network loading, the gain in computation time is significant: a factor > 1100 for a case study of the Sioux Falls benchmark network.
ISSN: 0361-1981
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre for Industrial Management / Traffic & Infrastructure
× corresponding author
# (joint) last author

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