Detail publikace
Modelling Traffic Emissions Based on an Advanced Vehicle Detection
BÖHM, M. KÖBÖLOVÁ, K. LINDA, J. POSPÍŠIL, J.
Anglický název
Modelling Traffic Emissions Based on an Advanced Vehicle Detection
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
en
Originální abstrakt
Air pollution from traffic emissions affects billions of people worldwide, yet measurements are very limited. Pollution concentrations in cities vary rapidly over short distances due to unevenly distributed emission sources, dilution and physicochemical transformations. Conventional monitoring methods lack the necessary resolution to characterise exposures and locate hotspots. Detailed, specific and up-todate data are crucial for in-depth analysis, modelling, management or planning. This paper explores and develops a widely applicable solution for real-time traffic pollutant estimation based on high-accuracy traffic dynamics data and microscopic multimodal emission models. A key aspect is the implementation of an advanced image processing method for vehicle detection and classification. Accurate vehicle trajectories together with terrain morphology are input to new micro-simulation models for the generation of exhaust and non-exhaust pollutants (CO2, NOX, PM).
Anglický abstrakt
Air pollution from traffic emissions affects billions of people worldwide, yet measurements are very limited. Pollution concentrations in cities vary rapidly over short distances due to unevenly distributed emission sources, dilution and physicochemical transformations. Conventional monitoring methods lack the necessary resolution to characterise exposures and locate hotspots. Detailed, specific and up-todate data are crucial for in-depth analysis, modelling, management or planning. This paper explores and develops a widely applicable solution for real-time traffic pollutant estimation based on high-accuracy traffic dynamics data and microscopic multimodal emission models. A key aspect is the implementation of an advanced image processing method for vehicle detection and classification. Accurate vehicle trajectories together with terrain morphology are input to new micro-simulation models for the generation of exhaust and non-exhaust pollutants (CO2, NOX, PM).
Klíčová slova anglicky
Vehicle detection, emissions, traffic, thermodynamics
Vydáno
05.09.2024
Nakladatel
Technická univerzita v Liberce, Fakulta strojní, Katedra vozidel a motorů
Místo
Liberec
ISBN
978-80-7494-711-7
Kniha
KOKA 2024 55. Mezinárodní vědecká konference zaměřená na výzkumné a výukové metody v oblasti vozidel a pohonů
Číslo edice
1
Strany od–do
73–81
Počet stran
9
BIBTEX
@inproceedings{BUT189649,
author="Michael {Böhm} and Klaudia {Köbölová} and Jakub {Linda} and Jiří {Pospíšil},
title="Modelling Traffic Emissions Based on an Advanced Vehicle Detection",
booktitle="KOKA 2024 55. Mezinárodní vědecká konference zaměřená na výzkumné a výukové metody v oblasti vozidel a pohonů",
year="2024",
month="September",
pages="73--81",
publisher="Technická univerzita v Liberce, Fakulta strojní, Katedra vozidel a motorů",
address="Liberec",
isbn="978-80-7494-711-7"
}