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Estimate of traffic emissions through multiscale second order models with heterogeneous data

Academic Article
Publication Date:
2022
abstract:
In this paper we propose a multiscale traffic model, based on the family of Generic Second Order Models, which integrates multiple trajectory data into the velocity function. This combination of a second order macroscopic model with microscopic information allows us to reproduce significant variations in speed and acceleration that strongly influence traffic emissions. We obtain accurate approximations even with a few trajectory data. The proposed approach is therefore a computationally efficient and highly accurate tool for calculating macroscopic traffic quantities and estimating emissions.
Iris type:
01.01 Articolo in rivista
Keywords:
Second order traffic models; heterogeneous data; emissions; road networks.
List of contributors:
Briani, Maya
Authors of the University:
BRIANI MAYA
Handle:
https://iris.cnr.it/handle/20.500.14243/413299
Published in:
NETWORKS AND HETEROGENEOUS MEDIA
Journal
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