Publications related to Estimation of pedestrian origin-destination demand in train stations

Resamping variance estimation in surveys with missing data

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

Tools to evaluate future actions on the traffic in Lausanne

Michel Bierlaire

Lausanne-Morges agglomeration will experiment strong increases in the number of inhabitants and jobs until 2020. The additional trips generated by these increases will have to be carried out in a larger proportion by soft mobility and transit. There are ma ...

2007

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Suhas Diggavi

We consider multiple description source coding problem with Gaussian source and mean squared error, for

K=3

descriptions. We obtain an outer bound for the rate region of the problem. We also derive an inner bound for the problem based on successively ref ...

2007

Continuous interior penalty hp-finite element methods for advection and advection-diffusion equations

Erik Burman

A continuous interior penalty hp-finite element method that penalizes the jump of the discrete solution across mesh interfaces is introduced. Error estimates are obtained for first-order and advection-dominated transport operators. The analysis relies on t ...

2007

Data fusion fot traffic and safety indicators: the intelligent roads perspectives

Edward Chung

This work, part of the European project ‘Intelligent Roads’, aims to achieve real-time data collection and innovative methods for road traffic monitoring, focusing on some performance indicators: travel time and traffic density. Data fusion provides a cons ...

2006

Conditionally optimal weights of evidence

Stephan Morgenthaler, Robert Staudte

A weight of evidence is a calibrated statistic whose values in [0, 1] indicate the degree of agreement between the data and either of two hypothesis, one being treated as the null (H 0) and the other as the alternative (H 1). A value of zero means perfect ...

Springer-Verlag2005

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

Michaël Unser, Dimitri Nestor Alice Van De Ville, Sathish Ramani

Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some “shift-invariant” space, which may or may not be bandlimited. In this paper, we present some further justification for ...

IEEE2005

Rate-Distortion Problem for Physics Based Distributed Sensing

Martin Vetterli, Robert Konsbruck

We consider the rate-distortion problem for sensing the continuous space-time physical temperature in a circular ring on which a heat source is applied over space and time, and which is allowed to cool by radiation or convection. The heat source is modelle ...

2004

Rate-Distortion Problem for Physics Based Distributed Sensing

Martin Vetterli, Robert Konsbruck

We consider the rate-distortion problem for sensing the continuous space-time physical temperature in a circular ring on which a heat source is applied over space and time, and which is allowed to cool by radiation or convection. The heat source is modelle ...

2004

High Efficiency Road Status Monitoring System

Phillip Tomé, Telmo Cunha

This paper presents an application where an integrated GPS/IMU system is used for land survey (mounted on a van), providing a significant improvement on the efficiency of the road status monitoring process. Being initially developed for aircraft navigation ...

2002

Estimation of pedestrian origin-destination demand in train stations

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Resamping variance estimation in surveys with missing data

Tools to evaluate future actions on the traffic in Lausanne

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Continuous interior penalty hp-finite element methods for advection and advection-diffusion equations

Data fusion fot traffic and safety indicators: the intelligent roads perspectives

Conditionally optimal weights of evidence

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

Rate-Distortion Problem for Physics Based Distributed Sensing

Rate-Distortion Problem for Physics Based Distributed Sensing

High Efficiency Road Status Monitoring System

Tools to evaluate future actions on the traffic in Lausanne

Resamping variance estimation in surveys with missing data

Data fusion fot traffic and safety indicators: the intelligent roads perspectives

Rate-Distortion Problem for Physics Based Distributed Sensing

Continuous interior penalty hp-finite element methods for advection and advection-diffusion equations

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Rate-Distortion Problem for Physics Based Distributed Sensing

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

Conditionally optimal weights of evidence

High Efficiency Road Status Monitoring System