Traffic management based on large-scale traffic and high-resolution air pollution simulation

Abstract

Reducing traffic-related air pollutant concentrations requires the development of suitable traffic management policies. By coupling the mesoscopic traffic and emission model MATSim with the microscopic urban climate model PALM-4JU, it becomes possible to calculate traffic emissions and their dispersion for large simulation areas in high resolution. Utilizing both models, an appropriate traffic management strategy using distance-based tolls is implemented to reduce critical air pollutant concentrations throughout the day. The designed traffic management policies are applied to various study areas, and its effectiveness in reducing air pollutant concentrations is evaluated.