A Phenomenological Environmental Traffic Model Part 1: Fuzzy Logic Validatation

TL;DR

This paper introduces a phenomenological traffic environmental model linking vehicle counts to pollutant concentrations, validated through fuzzy logic, providing a foundation for future calibration and testing in subsequent research.

Contribution

It presents a novel equation connecting vehicle flow to pollutant levels and validates this model using fuzzy logic techniques, advancing traffic pollution modeling methods.

Findings

Established a relationship between vehicle counts and pollutant concentrations.

Validated the model using fuzzy logic techniques.

Set the stage for future calibration and testing.

Abstract

In this first paper of a series of two we are going to show that, on the ground of few reasonable hypotheses, an equation linking the number of vehicle N($\tau_i$), that run from (i-1)-th to the i-th hour, to the ground-level hourly average measured values of an arbitrary pollutant concentration, $C(\tau_i,z=0)=C(\tau_i)$, can be established. The traffic environmental model so generated is validated via a fuzzy logig approach. In a second paper we will valitadeted and calibrated it via a manual counting of traffic fluxes and its provisional capability will be tessted