Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain. Little is known about how CAVs operational behavior influences the environmental performance of network traffic, including conventional vehicles (CVs). In this paper, a microscopic traffic and emission modeling...

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Bibliographic Details
Published in:IEEE open journal of intelligent transportation systems 2021-01, Vol.2, p.364-383
Main Authors: Bandeira, Jorge M., Macedo, Eloisa, Fernandes, Paulo, Rodrigues, Monica, Andrade, Mario, Coelho, Margarida C.
Format: Article
Language:English
Subjects:
Adaptation models
Automation
Automobiles
Car following
Car-following adjustment parameters
Carbon dioxide
Communications traffic
connected and automated vehicles
Data models
Driving
driving behavior
Electric power distribution
Emission
Environmental impact
Environmental management
Europe
Mechanical engineering
microsimulation
Nitrogen oxides
pollutant emissions
Pollutants
Roads
Rural roads
Traffic flow
Traffic models
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Summary:The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain. Little is known about how CAVs operational behavior influences the environmental performance of network traffic, including conventional vehicles (CVs). In this paper, a microscopic traffic and emission modeling platform was applied to simulate CAVs operation in Motorway, Rural, and Urban road sections of a medium-sized European city, assuming different configurations of the car-following model parameters associated with a pre-determined or cooperative adaptative behavior of the CAVs. The main contribution is to evaluate the impact of the CAVs operation on the distribution of accelerations, Vehicle Specific Power (VSP) modal distribution, carbon dioxide (CO 2 ) and nitrogen oxides (NOx) emissions for different road types and Market Penetration Rates (MPR). Results suggest CAVs operational behavior can affect CVs environmental performance either positively or negatively, depending on the driving settings and road type. It was found network-wide CO 2 varies between savings of 18% and an increase of 4%, depending on the road type and MPR. CAVs adjusted driving settings allowed minimization of system NOx up to 13-23% for MPR ranging between 10 and 90%. These findings may support policymakers and traffic planners in developing strategies to better accommodate CAVs in a sustainable way.
ISSN:2687-7813
2687-7813
DOI:10.1109/OJITS.2021.3112904