Publication detail
Modelling Traffic Emissions Based on an Advanced Vehicle Detection
BÖHM, M. KÖBÖLOVÁ, K. LINDA, J. POSPÍŠIL, J.
English title
Modelling Traffic Emissions Based on an Advanced Vehicle Detection
Type
article in a collection out of WoS and Scopus
Language
en
Original abstract
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).
English abstract
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).
Keywords in English
Vehicle detection, emissions, traffic, thermodynamics
Released
05.09.2024
Publisher
Technická univerzita v Liberce, Fakulta strojní, Katedra vozidel a motorů
Location
Liberec
ISBN
978-80-7494-711-7
Book
KOKA 2024 55. Mezinárodní vědecká konference zaměřená na výzkumné a výukové metody v oblasti vozidel a pohonů
Edition number
1
Pages from–to
73–81
Pages count
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"
}