The rationales that underlie modal practices

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Cortical sensory processing across motivational states during goal-directed behavior

Carl Petersen, Matthieu Pierre Auffret, Georgios Foustoukos, Sami El-Boustani, Johannes Maria Mayrhofer, Maëlle Guyoton

Behavioral states can influence performance of goal-directed sensorimotor tasks. Yet, it is unclear how altered neuronal sensory representations in these states relate to task performance and learning. We trained water-restricted mice in a two-whisker disc ...

2022

Modeling and optimization of dedicated bus lanes space allocation in large networks with dynamic congestion

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Dedicated bus lanes provide a low cost and easily implementable strategy to improve transit service by minimizing congestion-related delays. Identifying the best spatial distribution of bus-only lanes in order to maximize traffic performance of an urban ne ...

2021

Spherical birational sheets in reductive groups

Filippo Ambrosio

We classify the spherical birational sheets in a complex simple simply-connected algebraic group. We use the classification to show that, when G is a connected reductive complex algebraic group with simply-connected derived subgroup, two conjugacy classes ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Individual changes in the bicycle community workshops, A typology from a new agent of socialization

Alexandre André Robert Rigal

Social change is at the center of solutions to the problems of the environment. Yet social change is sometimes elusively described. Through empirical inquiries guided by socialization theories, the present article aims to identify different types of indivi ...

2020

Empirical analysis of large-scale multimodal traffic with multi-sensor data

Nikolaos Geroliminis, Nan Zheng, Hui Fu

Recent advances in the network-level traffic flow modelling provide an efficient tool for analyzing traffic performance of large-scale networks. A relationship between density and flow at the network level is developed and widely studied, namely the macros ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Methodologies for understanding and improving pedestrian mobility

Michel Bierlaire, Marija Nikolic, Riccardo Scarinci, Nicholas Alan Molyneaux, Yuki Oyama, Zhengchao Wang

Pedestrian mobility is at the center of urban transportation systems. Therefore, understanding it is a necessary task to improve the mobility in cities. However, pedestrian mobility is extremely complex, and advance methods are needed to capture its dynami ...

Routledge2020

Between Hospitality and Inhospitality: The Janus-Faced 'Arrival Infrastructure'

Luca Giovanni Pattaroni, Guillaume Simon Joseph Drevon, Maxime Carl Felder, Marie Hannah Florence Trossat, Joan Stavo-Debauge

Although ‘arrival infrastructure’ is central to the experience of migrants arriving in a new city, is it sufficient to form a ‘hospitable milieu’? Our article compares newcomers’ experiences with ‘arrival infrastructure’ in two European cities: Brussels an ...

2020

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

Optimization-based Control, Estimation, and Identification of Urban Road Transport Systems

Isik Ilber Sirmatel

Urbanization intensifies as a global trend, exposing transportation networks to ever increasing levels of congestion. As network usage increases with available infrastructure, building new roads is not a solution. Design of intelligent transportation syste ...

EPFL2020

On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment

Nikolaos Geroliminis, Emmanouil Barmpounakis

The new era of sharing information and "big data" has raised our expectations to make mobility more predictable and controllable through a better utilization of data and existing resources. The realization of these opportunities requires going beyond the e ...

2020

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