Publications related to The effect of variability of urban systems characteristics in the network capacity

Global, Passive Detection of Connection Tampering

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

New York2023

Large-scale traffic signal control and multimodal network design

Dimitrios Tsitsokas

Traffic congestion constitutes one of the most frequent, yet challenging, problems to address in the urban space. Caused by the concentration of population, whose mobility needs surpass the serving capacity of urban networks, congestion cannot be resolved ...

EPFL2022

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Signalized intersections are a fundamental part of urban networks. Their understanding is crucial to identify congestion patterns, queues, delays, and safety issues in local and network level. In this work, we analyze multimodal vehicle trajectories and pr ...

2022

Prima Lezione: Bernardo Secchi and the project of the contemporary city. La frontiera del possibile

Paola Viganò

Eight years after the last visit of Bernardo Secchi to Brazil, the new cycle of online seminars Prima Lezione: Bernardo Secchi and the project of the contemporary city will be a posthumous tribute to the Italian professor, given his important contribution ...

2022

The influence of trip length distribution on urban traffic in network-level models

Mikhail Murashkin

Modeling urban traffic on the level of network is a wide research area oriented to the development of ITS. In this thesis properties of models based on MFD (Macroscopic Fundamental Diagram) are studied. The idea behind MFD is to say that the state of the t ...

EPFL2021

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

Property rights redistribution and the spatial evolution of the Chinese danwei compound: a case study in Beijing

Mengke Zhang, Teng Zhang

Danwei compounds were the dominant form of urban neighborhood in China's planned economy era. However, since the economic reform, the status of danwei compounds has undergone dramatic changes. By examining the transformation of Hua Gong Da Yuan (HGDY), a d ...

SPRINGER2021

Linking trajectory data collected with a swarm of drones to the underlying urban network for macroscopic traffic parameter estimation

Nikolaos Geroliminis, Emmanouil Barmpounakis

Recently, an open-data initiative was announced with one of the most complete datasets to study urban congestion. The pNEUMA dataset consists of more than half a million trajectories in heterogeneous traffic. In order to utilize the dataset for macroscopic ...

2020

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

The paper “Dynamic efficiency in multilayer transportation networks” (Bellocchi, Geroliminis, 2018) [1] introduced new performance measures to quantify dynamically the effect of traffic congestion in a multilayer network. Based on these measures, we explor ...

2020

Local Tomography of Large Networks Under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This article studies the problem of reconstructing the topology of a network of interacting agents via observations of the state-evolution of the agents. We focus on the large-scale network setting with the additional constraint of partial observations, wh ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

The effect of variability of urban systems characteristics in the network capacity

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Global, Passive Detection of Connection Tampering

Large-scale traffic signal control and multimodal network design

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Prima Lezione: Bernardo Secchi and the project of the contemporary city. La frontiera del possibile

The influence of trip length distribution on urban traffic in network-level models

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Property rights redistribution and the spatial evolution of the Chinese danwei compound: a case study in Beijing

Linking trajectory data collected with a swarm of drones to the underlying urban network for macroscopic traffic parameter estimation

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Local Tomography of Large Networks Under the Low-Observability Regime

Large-scale traffic signal control and multimodal network design

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Global, Passive Detection of Connection Tampering

The influence of trip length distribution on urban traffic in network-level models

Linking trajectory data collected with a swarm of drones to the underlying urban network for macroscopic traffic parameter estimation

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Local Tomography of Large Networks Under the Low-Observability Regime

Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

Prima Lezione: Bernardo Secchi and the project of the contemporary city. La frontiera del possibile

Property rights redistribution and the spatial evolution of the Chinese danwei compound: a case study in Beijing