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Research Article | Open Access

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

SISSA Scuola Internazionale Superiore di Studi Avanzati, Mathlab, Trieste, Italy
Istituto per le Applicazioni del Calcolo - Consiglio Nazionale delle Ricerche, Rome, Italy
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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.

CLC number: Primary: 35L65; Secondary: 35F25, 90B20, 62P12

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Networks and Heterogeneous Media
Pages 863-892

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Cite this article:
Balzotti C, Briani M. Estimate of traffic emissions through multiscale second order models with heterogeneous data. Networks and Heterogeneous Media, 2022, 17(6): 863-892. https://doi.org/10.3934/nhm.2022030

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Received: 01 March 2022
Revised: 01 July 2022
Published: 15 December 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)