Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

Congestion is a phenomenon that impacts most cities in the world. Due to car emissions, it significant source of pollution. Even though mobility restrictions can reduce congestion and essential activities still need cars. With lockdown measures during global pandemic Covid-19, measuring traffic data has been made possible. This paper concerns analysis modelling such traffic. It appears dynamics exhibits than be represented with linear model. introduces model provide method jointly estimate parameters input. The validated collected Johannesburg, South Africa.