文章基本信息

标题：Dynamic Linear Model for Urban Essential Traffic Congestion and Emissions
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作者：A.Y. Kibangou ; T. Moyo ; W. Musakwa 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：21
页码：151-156
DOI：10.1016/j.ifacol.2021.12.026
语种：English
出版社：Elsevier
摘要：AbstractCongestion 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.
关键词：KeywordsEssential trafficLinear dynamic modelParameter estimationinput design