Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

A. Y. Kibangou; T. Moyo; W. Musakwa

doi:10.1016/j.ifacol.2021.12.026

Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

A. Y. Kibangou, T. Moyo, W. Musakwa

Geography, Environmental Management and Energy Studies

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

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 model input. The model is validated with data collected in Johannesburg, South Africa.

Original language	English
Pages (from-to)	151-156
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	54
Issue number	21
DOIs	https://doi.org/10.1016/j.ifacol.2021.12.026
Publication status	Published - 1 Dec 2021
Event	2021 Control Conference Africa, CCA 2021 - Magaliesburg, South Africa Duration: 7 Dec 2021 → 8 Dec 2021

Keywords

Essential traffic
Input design
Linear dynamic model
Parameter estimation

ASJC Scopus subject areas

Control and Systems Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ifacol.2021.12.026

Cite this

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title = "Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions",

abstract = "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 model input. The model is validated with data collected in Johannesburg, South Africa.",

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T1 - Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

AU - Kibangou, A. Y.

AU - Moyo, T.

AU - Musakwa, W.

PY - 2021/12/1

Y1 - 2021/12/1

N2 - 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 model input. The model is validated with data collected in Johannesburg, South Africa.

AB - 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 model input. The model is validated with data collected in Johannesburg, South Africa.

KW - Essential traffic

KW - Input design

KW - Linear dynamic model

KW - Parameter estimation

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M3 - Conference article

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SN - 2405-8963

VL - 54

SP - 151

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JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 21

T2 - 2021 Control Conference Africa, CCA 2021

Y2 - 7 December 2021 through 8 December 2021

ER -

Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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