publication . Conference object . 2021

Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

Kibangou, Alain; Moyo, Thembani; Musakwa, Walter;
English
  • Published: 07 Dec 2021
  • Publisher: HAL CCSD
  • Country: France
Abstract
International audience; Congestion is a phenomenon that impacts most cities in the world. Due to car emissions, it is a significant source of pollution. Even though mobility restrictions can reduce congestion and emissions, essential activities still need cars. With lockdown measures during the global pandemic of Covid-19, measuring essential traffic data has been made possible. This paper concerns analysis and modelling of such essential traffic. It appears that congestion dynamics of essential traffic exhibits dynamics than can be represented with a linear model. This paper introduces such a model and provide a method to jointly estimate the parameters and the...
Subjects
free text keywords: Essential traffic, Linear dynamic model, Parameter estimation, input design, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.AUTO]Engineering Sciences [physics]/Automatic
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