Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts

Ennio Cascetta, Domenico Inaudi and Gérald Marquis
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Ennio Cascetta: Department of Transportation Engineering, University of Naples, Naples, Italy 80127
Domenico Inaudi: Centro Studi sui Sistemi di Trasporto, Turin, Italy 10123
Gérald Marquis: Centro Studi sui Sistemi di Trasporto, Turin, Italy 10123

Transportation Science, 1993, vol. 27, issue 4, 363-373

Abstract: This paper proposes different “dynamic” estimators using time-varying traffic counts to obtain (discrete) time-varying OD flows or average OD flows. All the estimators can combine counts with other available information, e.g., out-dated matrices and surveys, on a general network and can be formulated as optimization problems. In the case of time-varying OD flows, two types of estimators are proposed. Simultaneous estimators produce joint estimates of the whole set of OD matrices, one for each time slice, whereas sequential estimators produce a sequence of OD estimates for successive time slices. A particular type of simultaneous and sequential estimator (namely Generalized Least Squares) was tested on the Italian Brescia–Padua motorway for which “true” OD flows over a whole day were available. Results were generally satisfactory, showing that also in the “no a priori information” case significant estimates could be obtained.

Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:27:y:1993:i:4:p:363-373

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