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

TL;DR

This paper introduces a multiscale traffic model that combines macroscopic and microscopic data to accurately estimate traffic emissions, even with limited trajectory data, offering an efficient and precise tool for emission analysis.

Contribution

It presents a novel multiscale second order traffic model integrating heterogeneous trajectory data to improve emission estimation accuracy.

Findings

Accurately reproduces speed and acceleration variations

Effective with limited trajectory data

Provides a computationally efficient emission estimation tool

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.