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Macroscopic Modelling of Predicted Automated Vehicle Emissions

Mohammed Obaid / Arpad Torok

This paper studies the effect of automated vehicle implementation on transport system emission from a macroscopic point of view. The paper considers several scenarios differing in passenger car unit (PCU) and the penetration share percent of automated vehicles in the system using PTV Visum software. The study presents that automated vehicles reduce total emission by both the effect of smooth driving of each automated vehicle independently and the spread of automated vehicles in the network. Furthermore, apart from considering the effect of different PCU values and penetration levels, the developed model takes into account three different types of emissions and seven different vehicle classes.

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Macroscopic Modelling of Predicted Automated Vehicle Emissions

Mohammed Obaid / Arpad Torok

This paper studies the effect of automated vehicle implementation on transport system emission from a macroscopic point of view. The paper considers several scenarios differing in passenger car unit (PCU) and the penetration share percent of automated vehicles in the system using PTV Visum software. The study presents that automated vehicles reduce total emission by both the effect of smooth driving of each automated vehicle independently and the spread of automated vehicles in the network. Furthermore, apart from considering the effect of different PCU values and penetration levels, the developed model takes into account three different types of emissions and seven different vehicle classes.

Macroscopic Modelling of Predicted Automated Vehicle Emissions

Mohammed Obaid / Arpad Torok

This paper studies the effect of automated vehicle implementation on transport system emission from a macroscopic point of view. The paper considers several scenarios differing in passenger car unit (PCU) and the penetration share percent of automated vehicles in the system using PTV Visum software. The study presents that automated vehicles reduce total emission by both the effect of smooth driving of each automated vehicle independently and the spread of automated vehicles in the network. Furthermore, apart from considering the effect of different PCU values and penetration levels, the developed model takes into account three different types of emissions and seven different vehicle classes.

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Title:

Macroscopic Modelling of Predicted Automated Vehicle Emissions

Contributors:

Mohammed Obaid (author) / Arpad Torok (author)

Published in:

The Baltic Journal of Road and Bridge Engineering, Vol 17, Iss 1, Pp 31-49 (2022)

Publication date:

2022

ISSN:

1822-427X , 1822-4288

DOI:

https://doi.org/10.7250/bjrbe.2022-17.550

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

Keywords:

automated vehicles , emissions , macroscopic , modelling , passenger car unit , penetration , Highway engineering. Roads and pavements , TE1-450 , Bridge engineering , TG1-470

Metadata by DOAJ is licensed under CC BY-SA 1.0

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