VARIABILITY ANALYSIS OF TRAFFIC SIMULATION OUTPUTS: PRACTICAL APPROACH FOR TRAF-NETSIM
Stochastic traffic simulation models, such as TRAF-NETSIM, use random number seeds to generate variables to describe driver, roadway, and traffic characteristics. In analyzing outputs from these models, one should consider the variability of the responses. The variability of NETSIM's output using the methods of replication and batch means was explored. For the batch means method, it is proposed to compute the measures of effectiveness (MOEs) for intermediate time intervals using a proposed interval calculation (PIC) procedure. The MOEs were evaluated at the network, intersection, and link levels of aggregation. Depending on the MOE and level of aggregation, the two methods yielded significantly different results. Hence, depending on the study objective, outputs may need to be examined at different levels of aggregation to obtain meaningful results. The practical implications of the variability are also discussed, and statistical approaches are proposed to deal with output variability. Auto- and cross-correlations must be examined explicitly, particularly when dealing with link MOEs resulting from very short simulation time. Ignoring positive cross-correlation is not detrimental but leads to more conservative confidence intervals. Either the batch means with PIC method or replication method must be used to build confidence intervals. NETSIM's direct output for intermediate time intervals should not be used to build a confidence interval unless an autocorrelation analysis is done. Not using proper statistical procedures can lead to erroneous and misleading conclusions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309061008
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1457, Part 2, Traffic Flow and Capacity. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
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Authors:
- Benekohal, Rahim (Ray) F
- Abu-Lebdeh, Ghassan
- Publication Date: 1994
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 198-207
- Monograph Title: Part 1: 1994 TRB Distinguished Lecture, Adolf D May; Part 2: Traffic flow and capacity
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Serial:
- Transportation Research Record
- Issue Number: 1457
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Autocorrelation; Confidence intervals; Cross correlation; Measures of effectiveness; Output; Traffic simulation; Variables
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 00677664
- Record Type: Publication
- ISBN: 0309061008
- Files: TRIS, TRB
- Created Date: May 12 1995 12:00AM