Publication result detail

Modelling Traffic Emissions Based on an Advanced Vehicle Detection

BÖHM, M.; KÖBÖLOVÁ, K.; LINDA, J.; POSPÍŠIL, J.

Original Title

Modelling Traffic Emissions Based on an Advanced Vehicle Detection

English Title

Modelling Traffic Emissions Based on an Advanced Vehicle Detection

Type

Paper in proceedings outside WoS and Scopus

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

Vehicle detection, emissions, traffic, thermodynamics

Key words in English

Vehicle detection, emissions, traffic, thermodynamics

Authors

BÖHM, M.; KÖBÖLOVÁ, K.; LINDA, J.; POSPÍŠIL, J.

RIV year

2025

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

Pages from

73

Pages to

81

Pages count

9

URL

https://etul.publi.cz/book/5462-55-mezinarodni-vedecka-konference-zamerena-na-vyzkumne-a-vyukove-metody-v-oblasti-vozidel-a-jejich-pohonu

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT189649,
  author="Michael {Böhm} and Klaudia {Matušková} 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",
  number="1",
  pages="73--81",
  publisher="Technická univerzita v Liberce, Fakulta strojní, Katedra vozidel a motorů",
  address="Liberec",
  isbn="978-80-7494-711-7",
  url="https://etul.publi.cz/book/5462-55-mezinarodni-vedecka-konference-zamerena-na-vyzkumne-a-vyukove-metody-v-oblasti-vozidel-a-jejich-pohonu"
}