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Publications associées (28)

Joint Fusion Learning of Multiple Time Series Prediction

Orçun Gümüs

Accurate traffic density estimations is essential for numerous purposes like the developing successful transit policies or to forecast future traffic conditions for navigation. Current developments in the machine learning and computer systems bring the tra ...

2019

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

Nikolaos Geroliminis, Anastasios Kouvelas, Dimitrios Tsitsokas

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

Merging into Single-Lane Roundabouts in the Presence of Uncertainty

Denis Gillet, Ezequiel González Debada

Merging efficiently into roundabouts represents a challenge for autonomous vehicles due to the speed difference between merging traffic flows and the lack of certainty regarding drivers' intent, specially when the road is shared with human drivers and/or i ...

2019

Evidence of traffic-generated air pollution in Havana

François Golay, Alain Clappier, Jessie Madrazo Bacallao

In Havana, transport is blamed as a likely source of pollution issues. which is usually supported on arguments referring to a vehicle fleet mainly made of old cars (i.e., most models are American from the 1950s or Russian from the 1980s) with poor technica ...

2019

Virtual Vehicle-Based Cooperative Maneuver Planning for Connected Automated Vehicles at Single-Lane Roundabouts

Denis Gillet, Ezequiel González Debada

This paper presents a distributed maneuver planner for connected automated vehicles (CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating virtual vehicles (Us) on the targeted traffic stream. Specifically, this work ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Virtual Traffic Lights: System Design and Implementation

Sami Ben Hassen, Aurélien Pomini, Frank Schmutz

Traffic congestion is a daunting problem that is affecting the daily lives of billions of people across the world. Recently, a promising new traffic control scheme known as Virtual Traffic Lights (VTL) has been proposed for mitigating traffic congestion. V ...

IEEE2018

Dynamic Clustering and Control for Large Scale Urban Networks

Mohammadreza Saeedmanesh

Traffic congestion is a significant issue in all urban areas with concentration of activities for various city topologies and distribution of population and land use around the world. Developing realistic models that are able to replicate congestion spread ...

EPFL2018

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Nikolaos Geroliminis, Mehmet Yildirimoglu, Isik Ilber Sirmatel

High level of detail renders microscopic traffic models impractical for control purposes and local control schemes cannot coordinate actions over large scale heterogeneously congested urban networks. Developing efficient models and control methods for larg ...

2018

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