Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease
This study presents the result of a traffic simulation analysis based on Floating Car Data and
a noise emission assessment to show the impact of mobility restriction for COVID-19 …
a noise emission assessment to show the impact of mobility restriction for COVID-19 …
Analysis and monitoring of post-COVID mobility demand in Rome resulting from the adoption of sustainable mobility measures
The paper describes research activities of monitoring, modeling, and planning of people
mobility in Rome during the Covid-19 epidemic period from March to June 2020. The results …
mobility in Rome during the Covid-19 epidemic period from March to June 2020. The results …
Short-term traffic predictions on large urban traffic networks: Applications of network-based machine learning models and dynamic traffic assignment models
G Fusco, C Colombaroni, L Comelli… - … Conference on Models …, 2015 - ieeexplore.ieee.org
The paper discusses the issues to face in applications of short-term traffic predictions on
urban road networks and the opportunities provided by explicit and implicit models. Different …
urban road networks and the opportunities provided by explicit and implicit models. Different …
A data grouping CNN algorithm for short-term traffic flow forecasting
In this paper, a data grouping approach based on convolutional neural network (DGCNN) is
proposed for forecasting urban short-term traffic flow. This approach includes the …
proposed for forecasting urban short-term traffic flow. This approach includes the …
Quasi-dynamic traffic assignment using high performance computing
Traffic assignment methods are some of the key approaches used to model flow patterns
that arise in transportation networks. Since static traffic assignment does not have a notion of …
that arise in transportation networks. Since static traffic assignment does not have a notion of …
On transport monitoring and forecasting during COVID-19 pandemic in Rome
S Brinchi, S Carrese, E Cipriani… - Transport and …, 2020 - sciendo.com
This paper presents the results of a study on the Rome mobility system aiming at estimating
the impacts of the progressive lockdown, imposed by the government, due to the Covid-19 …
the impacts of the progressive lockdown, imposed by the government, due to the Covid-19 …
Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints
L Brederode, L Gerards, L Wismans, A Pel… - … A: Transport Science, 2023 - Taylor & Francis
To improve the accuracy of large-scale strategic transport models in congested conditions,
this paper presents a straightforward extension of a static capacity-constrained traffic …
this paper presents a straightforward extension of a static capacity-constrained traffic …
Dynamic O‐D Demand Estimation: Application of SPSA AD‐PI Method in Conjunction with Different Assignment Strategies
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi‐
dynamic traffic assignment (QDTA) models, which apply different route choice approaches …
dynamic traffic assignment (QDTA) models, which apply different route choice approaches …
Statistical and Clustering-Based Assessment of Variable Speed Limits Effects on Motorway Performance from Real-World Observations
Variable Speed Limit (VSL) systems aimed at reducing congestion and improving safety
performance have been implemented around the world in previous years. However, field …
performance have been implemented around the world in previous years. However, field …
Meta-heuristic aggregate calibration of transport models exploiting data collected in mobility
The wide diffusion of data collected in mobility led to an unprecedented amount of
information about people's mobility behavior. While on one hand the availability of big data …
information about people's mobility behavior. While on one hand the availability of big data …