Publication

Estimation et prédiction en temps-réel de tables origine-destination

Michel Bierlaire
2004
Reports

Abstract

Le problème d'estimation de tables origine-destination (OD) à partir de données de comptages est de première importance pour un grand nombre d'applications impliquant la modélisation d'un système de transport. En effet, ces tables appréhendent statistiquement la demande, qui conditionne le fonctionnement de l'ensemble du système. Ce papier à pour but de faire une synthèse des caractéristiques de ce problème, de le décrire sous plusieurs aspects (statique, dynamique, temps-réel) et de présenter des résultats récents liés à sa résolution et proposés par l'auteur.

Official source

https://infoscience.epfl.ch/entities/publication/01b112af-d736-42e0-a7f8-532f72bcb7c3

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Michel Bierlaire
2004
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/01b112af-d736-42e0-a7f8-532f72bcb7c3

About this result

Related concepts (6)

Estimation theory

Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements.

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In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment analyses, pricing processes and bidding rounds. Published surveys on estimation practice suggest that expert estimation is the dominant strategy when estimating software development effort.

Estimation

Estimation (or estimating) is the process of finding an estimate or approximation, which is a value that is usable for some purpose even if input data may be incomplete, uncertain, or unstable. The value is nonetheless usable because it is derived from the best information available. Typically, estimation involves "using the value of a statistic derived from a sample to estimate the value of a corresponding population parameter".

Related publications (5)

Estimation et prédiction en temps-réel de tables origine-destination

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