Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications
S. Widodo, Takaaki Hasegawa, Sadayuki Tsugawa
Abstract
S. Widodo, Takaaki Hasegawa, Sadayuki Tsugawa
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.
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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)