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. 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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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/1822427X
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Supplemental Notes:
- © 2022 Mohammed Obaid and Arpad Torok.
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Authors:
- Obaid, Mohammed
- Torok, Arpad
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Maps; References; Tables;
- Pagination: pp 31-49
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Serial:
- Baltic Journal of Road and Bridge Engineering
- Volume: 17
- Issue Number: 1
- Publisher: Riga Technical University
- ISSN: 1822-427X
- EISSN: 1822-4288
- Serial URL: https://bjrbe-journals.rtu.lv/index
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Exhaust gases; Passenger car equivalence; Predictive models
- Identifier Terms: PTV Visum
- Subject Areas: Environment; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01843638
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 25 2022 10:07AM