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

Author:

Balzotti Caterina1,Briani Maya2

Affiliation:

1. SISSA Scuola Internazionale Superiore di Studi Avanzati, Mathlab, Trieste, Italy

2. Istituto per le Applicazioni del Calcolo - Consiglio Nazionale delle Ricerche, Rome, Italy

Abstract

<p style='text-indent:20px;'>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.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computer Science Applications,General Engineering,Statistics and Probability,Applied Mathematics,Computer Science Applications,General Engineering,Statistics and Probability

Reference38 articles.

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3. L. J. Alvarez-Vázquez, N. García-Chan, A. Martínez, M. E. Vázquez-Méndez.Optimal control of urban air pollution related to traffic flow in road networks, Math. Control Relat. F., 8 (2018), 177-193.

4. C. Balzotti, M. Briani, B. De Filippo and B. Piccoli, A computational modular approach to evaluate $\mathrm {NO_x}$ emissions and ozone production due to vehicular traffic, Discrete Cont. Dyn.-B.

5. C. Balzotti, M. Briani and B. Piccoli, Emissions minimization on road networks via generic second order models, arXiv preprint arXiv: 2004.11202.

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