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Related publications (26)

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Frequent walkers: from healthy individual behaviours to sustainable mobility futures

Derek Pierre Christie

Walking is often taken for granted or considered as an ancillary activity. Little is known about the distribution of walking in contemporary populations, and even less about the few people who walk for an hour or more in public space on most days of the we ...

EPFL2018

Economic Model Predictive Control of Large-Scale Urban Road Networks via Perimeter Control and Regional Route Guidance

Nikolaos Geroliminis, Isik Ilber Sirmatel

Local traffic control schemes fall short of achieving coordination with other parts of the urban road network, whereas a centralized controller based on the detailed traffic models would suffer from excessive computational burden. State estimation for deta ...

IEEE Institute of Electrical and Electronics Engineers2018

Virtual Traffic Lights: System Design and Implementation

Aurélien Pomini, Sami Ben Hassen, 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

Data-driven spatio-temporal discretization for pedestrian flow characterization

Michel Bierlaire, Marija Nikolic

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

Elsevier Science Bv2017

Integration of Perimeter Control and Route Guidance in Large-scale Urban Networks via Model Predictive Control

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic congestion is a substantial problem plaguing modern society. Researchers and practitioners working on transportation systems turn to methods from automatic control to decrease congestion and improve urban mobility. Considering the sheer physical si ...

2017

Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks

Eleni Stai

Computing the most central nodes in large-scale commodity networks is rather important for improving routing and associated applications. In this paper, we introduce a novel framework for the analysis and efficient computation of routing path-based central ...

Ieee Computer Soc2017