On the consistency of freeway macroscopic merging models

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Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Network-level road traffic control remains a challenging problem. Macroscopic fundamental diagram (MFD) based dynamical models of large-scale urban networks enable development of model predictive perimeter control methods, which represent an efficient cong ...

IEEE2020

A complex networks approach to traffic flow theory: measures and models

Leonardo Bellocchi

In this thesis, we developed a research direction that combines the theoretical concepts of complex networks with practical needs and applications in the field of transportation engineering. As a first objective we analyzed the phenomenon of congestion pr ...

EPFL2020

A systematic approach to estimating traffic load effects on bridges using weigh-in-motion data

Alain Nussbaumer, Manfred Hirt, Matthew James Sjaarda

In contrast to the Swiss load model used for new bridge structures (SIA 261), which has roots in a Europe-wide weigh-in-motion (WIM) study and considers the full design life of new structures, the model for existing structures (SIA 269) from 2005 is derive ...

ERNST & SOHN2020

Prediction Error–Based Parameter Estimation for Multi-Region MFD Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

City-level traffic management remains a challenging problem. Model predictive perimeter control approaches employing macroscopic fundamental diagram (MFD) based models of large-scale urban road traffic represent a high-performance solution with substantial ...

2020

Toward Sustainable Ridesourcing Services: A Simulation Study on the Effects of Congestion, Fleet Size, and Willingness to Share

Nikolaos Geroliminis, Caio Vitor Beojone

Human mobility in large cities is a complex dynamical system with high density of population, many transport modes to compete for limited available space and many operators that try to efficiently manage different parts of this system. New emerging modes o ...

2020

Model predictive perimeter control of MFD networks with guaranteed stability

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic management for large-scale urban road networks remains a challenging problem. Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental diagram (MFD), enable development of model-based control schemes for use with the ...

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 ...

2020

A methodology (CUPRITE) for urban network travel time estimation by integrating multisource data

Ashish Bhaskar

Travel time is an important network performance measure and it quantifies congestion in a manner easily understood by all transport users. In urban networks, travel time estimation is challenging due to number of reasons such as, fluctuations in traffic fl ...

EPFL2009

Fast exclusion of errant devices from vehicular networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos

Vehicular networks, in which cars communicate wirelessly to exchange information on traffic conditions, offer a promising way to improve road safety. Yet ensuring the correct functioning of such a system is essential: malicious or faulty devices transmitti ...

2008