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Public transport bus service

Publications associées (35)

Modeling lane changing and lane choice using naturalistic data from a swarm of drones

The pNEUMA dataset is the result of a unique field experiment using a swarm of ten drones flying over the central district of Athens, Greece. Using this newly available dataset, this paper focuses on two directly related topics: i) lane changing and ii) la ...

2022

Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

Nikolaos Geroliminis, Mehmet Yildirimoglu

This paper proposes an integrated methodological framework to design a spatially heterogeneous bus route network and time-dependent service headways to serve travel demand that varies over time and space. Travelers choose to use either the transit mode or ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Qualité de desserte et patterns spatio-temporels : accompagner le renouvellement des politiques publiques de déplacement par une adaptation plus fine de l’offre à la demande

Alexis Gumy, Marc-Edouard Baptiste Grégoire Schultheiss

In a society where car use is still predominant, resistance to modal shift questions traditional planning approaches. While lifestyles are diversifying, public transit timetables are still mainly based on commuting. This paper proposes a new, interdiscipli ...

2020

Qualité de desserte et patterns spatio-temporels : accompagner le renouvellement des politiques publiques de déplacement par une adaptation plus fine de l'offre à la demande

Alexis Gumy, Marc-Edouard Baptiste Grégoire Schultheiss

2020

Analysing density and identifying lane changing behaviour using naturalistic data from a swarm of drones

In recent years, drones have come a long way from their early expensive military implementation to today’s relative accessibility to the wider public. Video stabilization and image recognition have also been very active field of research which influence is ...

2020

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 ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Smart Factory Information Service Bus (SIBUS) for manufacturing application: requirement, architecture and implementation

Ian Anthony Stroud, Jumyung Um

The Smart Factory is an important topic worldwide as a means for achieving Industry 4.0 in the manufacturing domain. Contemporary research on the Smart Factory has been concerned with application of the so-called Internet of Things (IoT) to the shop floor. ...

2019

Electrification of urban mobility: The case of catenary-free buses

Michel Bierlaire, Riccardo Scarinci

Electric mobility is now a reality, and services based on electric vehicles, such as electric car-sharing and electric buses, are becoming part of urban mobility. These new modes bring new challenges for the design and operations of the systems that requir ...

ELSEVIER SCI LTD2019

Quartiers résidentiels périurbains en transition : Comparaison multicritère de scénarios prospectifs à l'horizon 2050

Judith Elisa Drouilles

Since the Industrial Revolution, urban spaces have undergone a profound reorganisation in parallel with a transformation of society and lifestyles. Urban sprawl has become widespread in Switzerland, as in countless countries, due to continuous innovations ...

EPFL2019

Modeling and Optimization of Dedicated Bus Lane network design under dynamic traffic congestion

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Collective transport has been seen for long as a proper solution to fight congestion. While collectivity has been successful with respect to subways, it is not the norm in road traffic. Dedicated Bus Lanes (DBL) have been proposed as a measure to reduce th ...

2019

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