Research on PM emission and energy consumption of mixed traffic flow based on cellular automata FI model

TL;DR

This study models PM emissions and energy use in mixed traffic flow using a cellular automata FI model, revealing how maximum speed, mixing ratio, and slowing probability influence pollution and fuel consumption.

Contribution

It introduces a simulation framework based on the FI model to analyze the impact of various traffic parameters on emissions and energy dissipation.

Findings

Higher maximum velocity increases energy consumption.

PM emissions correlate with energy dissipation patterns.

Mixing ratio affects energy and emission peaks.

Abstract

Traffic congestion leads to a sharp increase in fuel consumption and exhaust emissions, which easily leads to air pollution and fuel waste. Based on Fukui-Ishibashi (FI) model, this paper studies particulate matter(PM) emission and energy dissipation of traffic flow by considering the maximum speed, mixing ratio and random slowing probability. Simulation results show that the energy dissipation of the traffic flow consisting of the same length and different maximum velocity is associated with the maximum velocity. The greater the maximum velocity, the more the energy consumes. When the maximum velocity is different, the PM emission is similar to the change of energy consumption. Moreover, for the same maximum velocity and different mixing ratio, the energy dissipation and the PM emission related to the mixing ratio. There are the maximum fuel consumption and emission value in the maximum flow. For the same maximum velocity and length of vehicles, their energy consumption and emission are determined by random slowing probability.