Potential Energy and Emission Benefits of Vehicle Automation and Connectivity
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2017-08-01
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NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS;NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Driver Assistance Systems (Vehicles);NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT;NTL-ENERGY AND ENVIRONMENT-Environment Impacts;
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Abstract:Driving behavior greatly impacts vehicle tailpipe emissions. Connected and automated vehicle (CAV) technologies are designed to smooth driving and relieve traffic congestion and are therefore expected to reduce fuel consumption and tailpipe emissions. Despite many first generation CAV technologies such as cooperative adaptive cruise control (CACC) nearing market deployment or in early-stage adoption, changes from these technologies largely have not been incorporated into driving style and behavior of vehicle emission and energy models. This paper presents the energy and emission impacts of CACC driving through a three-layered modeling framework with a case study of passenger cars on Interstate 91 near Springfield, Massachusetts. The framework closely integrates three separate model structures: 1) a driving behavior model to implement the car following algorithms of CACC systems, 2) a microscopic traffic simulation model to generate high-resolution (10 Hz) vehicle trajectories, and 3) the Motor Vehicle Emission Simulator (MOVES), the regulatory emissions inventory model for highway vehicles, to estimate the environmental effects. Our analysis confirms that CACC systems are likely to provide fuel efficiency and air quality benefits. Along with impacts from other CAV technologies, these CACC benefits could be included in energy and emission projections for future regulations and inventories.
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