Macroscopic Modelling of Predicted Automated Vehicle Emissions

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....

Full description

Bibliographic Details
Main Authors: Mohammed Obaid, Arpad Torok
Format: Article
Language:English
Published: Riga Technical University Press 2022-03-01
Series:The Baltic Journal of Road and Bridge Engineering
Subjects:
Online Access:https://bjrbe-journals.rtu.lv/article/view/5492
_version_ 1826907419685421056
author Mohammed Obaid
Arpad Torok
author_facet Mohammed Obaid
Arpad Torok
author_sort Mohammed Obaid
collection DOAJ
description 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.
first_indexed 2024-04-13T17:08:22Z
format Article
id doaj.art-bbdd5ea13ff8477c916535cfdcc43554
institution Directory Open Access Journal
issn 1822-427X
1822-4288
language English
last_indexed 2025-02-17T09:06:20Z
publishDate 2022-03-01
publisher Riga Technical University Press
record_format Article
series The Baltic Journal of Road and Bridge Engineering
spelling doaj.art-bbdd5ea13ff8477c916535cfdcc435542025-01-02T16:29:57ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882022-03-01171314910.7250/bjrbe.2022-17.5502759Macroscopic Modelling of Predicted Automated Vehicle EmissionsMohammed Obaid0Arpad Torok1Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, HungaryDepartment of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Budapest, HungaryThis 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.https://bjrbe-journals.rtu.lv/article/view/5492automated vehiclesemissionsmacroscopicmodellingpassenger car unitpenetration
spellingShingle Mohammed Obaid
Arpad Torok
Macroscopic Modelling of Predicted Automated Vehicle Emissions
The Baltic Journal of Road and Bridge Engineering
automated vehicles
emissions
macroscopic
modelling
passenger car unit
penetration
title Macroscopic Modelling of Predicted Automated Vehicle Emissions
title_full Macroscopic Modelling of Predicted Automated Vehicle Emissions
title_fullStr Macroscopic Modelling of Predicted Automated Vehicle Emissions
title_full_unstemmed Macroscopic Modelling of Predicted Automated Vehicle Emissions
title_short Macroscopic Modelling of Predicted Automated Vehicle Emissions
title_sort macroscopic modelling of predicted automated vehicle emissions
topic automated vehicles
emissions
macroscopic
modelling
passenger car unit
penetration
url https://bjrbe-journals.rtu.lv/article/view/5492
work_keys_str_mv AT mohammedobaid macroscopicmodellingofpredictedautomatedvehicleemissions
AT arpadtorok macroscopicmodellingofpredictedautomatedvehicleemissions