Macroscopic Modelling of Predicted Automated Vehicle Emissions

Mohammed Obaid, Arpad Torok

Abstract


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.

Keywords:
automated vehicles; emissions; macroscopic; modelling; passenger car unit; penetration

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References


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DOI: 10.7250/bjrbe.2022-17.550

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