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Driving style, road geometry, and traffic conditions have a significant impact on vehicles' fuel economy. In general, drivers are not aware of the optimal velocity profile for a given route. Indeed, the global optimal velocity trajectory depends on many factors, and its calculation requires intensive computations. In this paper, we discuss the optimization(More)
The previous studies have shown that optimizing the driving velocity profiles and route selection based on the availability of the traffic lights' operation information in a traffic network can significantly reduce the individual and cumulative energy consumption of on-road vehicles for the urban driving. In this paper, we propose an accurate and precise(More)
This paper proposes a speed prediction scheme for multi-vehicle car-following scenarios, which involves vehicle intelligence, human drivers, and vehicle dynamics interacting with one another, under low vehicular communication penetration rates. The algorithm relies on a small number of vehicles equipped with communication capabilities and utilizes(More)
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