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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

Modeling and integrated control of macroscopic heterogeneous traffic flow in large scale urban network using coloured Petri net

Nikolaos Geroliminis, Anastasios Kouvelas, Hui Fu

The evaluation of perimeter control using Macroscopic Fundamental Diagram (MFD) concept is strongly related with the quality of the corresponding dynamic models. For capturing the real characteristics of traffic dynamics, an enhanced accumulation-based tra ...

2019

Congestion and departure time choice equilibrium in urban road networks

Raphael Ali Francis Lamotte

When drivers are regularly faced with congestion, they try to optimize their departure time. If the demand and the road network evolve slowly enough, the entire system may approach an equilibrium, i.e. a state such that no one can be better off by unilater ...

EPFL2018

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

The scaling structure of the global road network

Andrea Rinaldo, Enrico Bertuzzo, Emanuele Strano, Andrea Giometto

Because of increasing global urbanization and its immediate consequences, including changes in patterns of food demand, circulation and land use, the next century will witness a major increase in the extent of paved roads built worldwide. To model the effe ...

2017

Data-driven fundamental models for pedestrian movements

Marija Nikolic

The focus of the thesis is the utilization of the data collected using state-of-the-art tracking technologies for the characterization and modeling of pedestrian movements. In this context, the main objectives are the development of (i) data-driven definit ...

EPFL2017

Detecting EEG correlates during preparation of complex driving maneuvers

Lucian Andrei Gheorghe

The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

EPFL2017

Measurement, Data Interpretation, and Uncertainty Propagation for Fatigue Assessments of Structures

Ian Smith, Alain Nussbaumer, James-Alexandre Goulet, Romain Pasquier, Claire Acevedo, Luca D'Angelo

Real behavior of existing structures is usually associated with large uncertainty that is often covered by the use of conservative models and code practices for the evaluation of remaining fatigue lives. In order to make better decisions related to retrofi ...

American Society of Civil Engineers2016

Updated braking forces for the assessment of road bridges

João Miguel De Oliveira Durães Alves Martins

Safety assessments of road bridges to braking events combine the braking force, acting along the longitudinal axis of the deck, with a vertical load that accounts for the vertical component of the traffic action. In modern design standards the vertical loa ...

EPFL2016

Effectiveness of variable speed limits considering commuters' long-term response

Wei Liu

This paper examines the effectiveness of variable speed limits (VSLs) on improving traffic flow efficiency and reducing vehicular emissions in a stylized setting of morning commute where a fixed number of individuals commute from home to work through the f ...

Pergamon-Elsevier Science Ltd2015

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