Fundamental diagram of traffic flow

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (31)

Moving Horizon Estimation for Model Predictive Perimeter Control of Multi-region MFD Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Management of road traffic in urban settings remains a challenging problem. Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume noise-free measurements of the traffic state, which is problematic since mea ...

2019

Estimation of regional trip length distributions for the calibration of the aggregated network traffic models

Nikolaos Geroliminis, Sérgio Filipe Assunção Batista

The calibration of trip lengths is an important challenge for multi-regional MFD-based applications, as it can influence the dynamics of regional densities (and speeds). Existing research has not paid significant attention in the topic, giving opportunitie ...

2019

Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state together with current and future inflow demands, requiring information about the origins and destinations (O ...

IEEE Institute of Electrical and Electronics Engineers2020

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

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state and inflow demands, both requiring information about the origins and destinations of drivers. Such assumptio ...

IEEE2019

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 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

Traffic Locality as an Opportunity in the Data Center

Jonas Fietz

In large scale data centers, network infrastructure is becoming a major cost component; as a result, operators are trying to reduce expenses, and in particular lower the amount of hardware needed to achieve their performance goals (or to improve the perfor ...

EPFL2019

Hierarchical Management of Heterogeneous Large-Scale Urban Networks via Path Assignment and Regional Route Guidance

Nikolaos Geroliminis, Isik Ilber Sirmatel, Mehmet Yildirimoglu

High level of detail renders microscopic traffic models impractical for control purposes and local control schemes cannot coordinate actions over the whole city. Thus, development of efficient modeling and control methods for large-scale urban road network ...

2018

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

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

Page 2 sur 2