2002•Unpublished venueRequires access

Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications

S. Widodo, Takaaki Hasegawa, Sadayuki Tsugawa

Open publisher page 28 citations

Abstract

In this paper, the vehicle fuel consumption and emission rates of environment-adaptive driving with or without inter-vehicle communications are estimated using an autonomous running traffic flow simulator. In this study, a microscopic fuel consumption and emission model is used. Simulation results show that environment-adaptive driving can reduce both of the average fuel consumption and vehicle emission. It also shows that inter-vehicle communications can improve these impacts under high vehicle densities and long traffic light cycle times.

About this research paper

What this paper is about

In this paper, the vehicle fuel consumption and emission rates of environment-adaptive driving with or without inter-vehicle communications are estimated using an autonomous running traffic flow simulator. In this study, a microscopic fuel consumption and emission model is used. Simulation results show that environment-adaptive driving can reduce both of the average fuel consumption and vehicle emission. It also shows that inter-vehicle communications can improve these impacts under high vehicle densities and long traffic light cycle times.

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OpenAlex reports 28 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, the vehicle fuel consumption and emission rates of environment-adaptive driving with or without inter-vehicle communications are estimated using an autonomous running traffic flow simulator. In this study, a microscopic fuel consumption and emission model is used. Simulation results show that environment-adaptive driving can reduce both of the average fuel consumption and vehicle emission. It also shows that inter-vehicle communications can improve these impacts under high vehicle densities and long traffic light cycle times.

Key concepts: Fuel efficiency, Automotive engineering, Estimation, Traffic flow (computer networking), Energy consumption, Computer science, Vehicular communication systems, Consumption (sociology)

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