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Overcoming the (apparent) problem of inconsistency in O-D matrix estimations

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Overcoming the (apparent) problem of inconsistency in O-D matrix estimations. / Jornsten, Kurt; Wallace, Stein W.
In: Transportation Science, Vol. 27, No. 4, 11.1993, p. 374-380.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jornsten, K & Wallace, SW 1993, 'Overcoming the (apparent) problem of inconsistency in O-D matrix estimations', Transportation Science, vol. 27, no. 4, pp. 374-380. https://doi.org/10.1287/trsc.27.4.374

APA

Jornsten, K., & Wallace, S. W. (1993). Overcoming the (apparent) problem of inconsistency in O-D matrix estimations. Transportation Science, 27(4), 374-380. https://doi.org/10.1287/trsc.27.4.374

Vancouver

Jornsten K, Wallace SW. Overcoming the (apparent) problem of inconsistency in O-D matrix estimations. Transportation Science. 1993 Nov;27(4):374-380. doi: 10.1287/trsc.27.4.374

Author

Jornsten, Kurt ; Wallace, Stein W. / Overcoming the (apparent) problem of inconsistency in O-D matrix estimations. In: Transportation Science. 1993 ; Vol. 27, No. 4. pp. 374-380.

Bibtex

@article{4cd8cd7723ec4edda0b06b4b5e428708,
title = "Overcoming the (apparent) problem of inconsistency in O-D matrix estimations",
abstract = "Recently a number of models for the estimation of origin-destination trip matrices from traffic counts have been presented. One class of models assumes knowledge of the proportional usage of each link by the interzonal traffic. These models result in an underspecified, and often inconsistent, system of linear equations. Several authors have addressed the problem of inconsistency by, in different ways, changing the traffic count data so as to achieve consistency. We argue that, modeling-wise, this is not a sound approach because inconsistent data is a natural part of any origin-destination matrix estimation problem. By using a stochastic programming approach the inconsistent input data becomes a natural part of the estimation process. This is done by viewing the traffic counts as realizations of some unknown underlying distribution of traffic flows.",
author = "Kurt Jornsten and Wallace, {Stein W}",
year = "1993",
month = nov,
doi = "10.1287/trsc.27.4.374",
language = "English",
volume = "27",
pages = "374--380",
journal = "Transportation Science",
issn = "1526-5447",
publisher = "INFORMS",
number = "4",

}

RIS

TY - JOUR

T1 - Overcoming the (apparent) problem of inconsistency in O-D matrix estimations

AU - Jornsten, Kurt

AU - Wallace, Stein W

PY - 1993/11

Y1 - 1993/11

N2 - Recently a number of models for the estimation of origin-destination trip matrices from traffic counts have been presented. One class of models assumes knowledge of the proportional usage of each link by the interzonal traffic. These models result in an underspecified, and often inconsistent, system of linear equations. Several authors have addressed the problem of inconsistency by, in different ways, changing the traffic count data so as to achieve consistency. We argue that, modeling-wise, this is not a sound approach because inconsistent data is a natural part of any origin-destination matrix estimation problem. By using a stochastic programming approach the inconsistent input data becomes a natural part of the estimation process. This is done by viewing the traffic counts as realizations of some unknown underlying distribution of traffic flows.

AB - Recently a number of models for the estimation of origin-destination trip matrices from traffic counts have been presented. One class of models assumes knowledge of the proportional usage of each link by the interzonal traffic. These models result in an underspecified, and often inconsistent, system of linear equations. Several authors have addressed the problem of inconsistency by, in different ways, changing the traffic count data so as to achieve consistency. We argue that, modeling-wise, this is not a sound approach because inconsistent data is a natural part of any origin-destination matrix estimation problem. By using a stochastic programming approach the inconsistent input data becomes a natural part of the estimation process. This is done by viewing the traffic counts as realizations of some unknown underlying distribution of traffic flows.

U2 - 10.1287/trsc.27.4.374

DO - 10.1287/trsc.27.4.374

M3 - Journal article

VL - 27

SP - 374

EP - 380

JO - Transportation Science

JF - Transportation Science

SN - 1526-5447

IS - 4

ER -