Publications related to Improving travel time estimates from inductive loop and toll collection data with dempster-shafer data fusion

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Nicolas Macris, Jean François Emmanuel Barbier

We consider increasingly complex models of matrix denoising and dictionary learning in the Bayes-optimal setting, in the challenging regime where the matrices to infer have a rank growing linearly with the system size. This is in contrast with most existin ...

AMER PHYSICAL SOC2022

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

A birth-death-migration model for life in astrophysical environments

Claudio Grimaldi

To assess the number of life-bearing worlds in astrophysical environments, it is necessary to take the intertwined processes of abiogenesis (birth), extinction (death), and transfer of life (migration) into account. We construct a mathematical model that i ...

OXFORD UNIV PRESS2021

Dynamic lane restrictions on congested arterials

Nikolaos Geroliminis, Paul Richard Anderson

Buses operating in mixed traffic experience problems with delay and travel time variability in peak periods. Numerous transit priority measures are found in the literature but most rely on separating buses from other vehicles. Complete separation such as d ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Statistical Aspects of Wasserstein Distances

Victor Panaretos, Yoav Zemel

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover th ...

ANNUAL REVIEWS2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Mitigating the impact of errors in travel time reporting on mode choice modelling

Michel Bierlaire, Aurélie Glerum, Giovanni Longo, Amanda Blomberg Stathopoulos, Silvia Francesca Varotto

Travel time is a major component in understanding travel demand. However, the quantification of demand and forecasting hinges on understanding how travel time is perceived and reported. Travel time reporting is typically subject to errors and this paper fo ...

Elsevier Sci Ltd2017

Intensive travel time: an obligation or a choice?

Stéphanie Vincent

This paper explores what prompts some individuals to spend a significant amount of time travelling. In the literature, travel time tends to be regarded as useless, unproductive time and, in some cases, as the worst time of the day. The actual behaviour of ...

Springer2016

Rabi oscillation in a quantum cavity: Markovian and non-Markovian dynamics

Alexandre Roulet, Pierre-Olivier Guimond

We investigate the Rabi oscillation of an atom placed inside a quantum cavity where each mirror is formed by a chain of atoms trapped near a one-dimensional waveguide. This proposal was studied previously with the use of Markov approximation, where the del ...

Amer Physical Soc2016

Distributionally Robust Multi-Item Newsvendor Problems with Multimodal Demand Distributions

Daniel Kuhn, Grani Adiwena Hanasusanto

We present a risk-averse multi-dimensional newsvendor model for a class of products whose demands are strongly correlated and subject to fashion trends that are not fully understood at the time when orders are placed. The demand distribution is known to be ...

Springer Verlag2015

Improving travel time estimates from inductive loop and toll collection data with dempster-shafer data fusion

Graph Chatbot

Chat with Graph Search

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

A birth-death-migration model for life in astrophysical environments

Dynamic lane restrictions on congested arterials

Statistical Aspects of Wasserstein Distances

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Mitigating the impact of errors in travel time reporting on mode choice modelling

Intensive travel time: an obligation or a choice?

Rabi oscillation in a quantum cavity: Markovian and non-Markovian dynamics

Distributionally Robust Multi-Item Newsvendor Problems with Multimodal Demand Distributions

Rabi oscillation in a quantum cavity: Markovian and non-Markovian dynamics

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Dynamic lane restrictions on congested arterials

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Intensive travel time: an obligation or a choice?

Statistical Aspects of Wasserstein Distances

Distributionally Robust Multi-Item Newsvendor Problems with Multimodal Demand Distributions

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Mitigating the impact of errors in travel time reporting on mode choice modelling

A birth-death-migration model for life in astrophysical environments