Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts

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...

Full description

Saved in:
Bibliographic Details
Published in:Transportation science 1993-11, Vol.27 (4), p.363-373
Main Authors: Cascetta, Ennio, Inaudi, Domenico, Marquis, Gerald
Format: Article
Language:English
Subjects:
A priori knowledge
Applied sciences
Dynamic modeling
Estimators
Exact sciences and technology
Fractions
Ground, air and sea transportation, marine construction
Highways
Interval estimators
Musical intervals
Preliminary estimates
Road transportation and traffic
Traffic counting
Traffic estimation
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0041-1655
1526-5447
DOI:10.1287/trsc.27.4.363