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Structural estimation for route choice models considering link specificity of measurement error variances

Publications associées (96)

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Modeling Route Choice Behavior From Smart-phone GPS data

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Abstract GPS capable smart phones are emerging survey tools in transportation research field, especially in modeling individuals' mobility patterns. In route choice modeling, path observations need to be generated explicitly for the estimation. It is a cha ...

2009

Modeling Route Choice Behavior From Smart-phone GPS data

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

2009

Generating probabilistic path observation from GPS data for route choice modeling

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Map matching algorithms are the conventional way to generate path observations from GPS data for route choice models. The deterministic matching may introduce extra biases to parameters of route choice models if the matching is wrong. In this paper, a new ...

2009

Route choice modeling with network-free data

Michel Bierlaire, Emma Frejinger

Route choice models are difficult to design and to estimate for various reasons. In this paper we focus on issues related to data. Indeed, real data in its original format are not related to the network used by the modeler and do therefore not correspond t ...

2008

Route choice analysis

Emma Frejinger

This thesis focuses on the route choice behavior of car drivers (uni-modal networks). More precisely, we are interested in identifying which route a given traveler would take to go from one location to another. For the analysis of this problem we use discr ...

EPFL2008

Closed-loop Identification of Multivariable Systems: With or Without Excitation of All References?

Dominique Bonvin, Alireza Karimi, Ljubisa Miskovic

A variance analysis of the parameters of a plant, belonging to a class of multivariable systems, estimated in closed-loop operation is performed. More specifically, having in mind the control applications where it is not desirable to excite all external re ...

2008

Compressive wireless arrays for bearing estimation

Volkan Cevher

Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the slim of the individual sensor processing results. When the sensors have high data sampling rates, arrays are tethered, crea ...

2008

Route choice modeling with network-free data

Michel Bierlaire, Emma Frejinger

2007

Hierarchical wavelet modelling of environmental sensor data

Anthony Christopher Davison, Yann Ruffieux

Motivated by the need to smooth and to summarize multiple simultaneous time series arising from networks of environmental monitors, we propose a hierarchical wavelet model for which estimation of hyperparameters can be performed by marginal maximum likelih ...

2007

Resamping variance estimation in surveys with missing data

Anthony Christopher Davison

We discuss variance estimation by resampling in surveys in which data are missing. We derive a formula for jackknife linearization in the case of calibrated estimation with deterministic regression imputation, and compare the resulting variance estimates w ...

2007