For a given route, vehicle and time of departure we consider the problem of energy consumption prediction. It is of prime importance in eco-routing applications since prediction errors reflect heavily on its performance. The problem is nonlinear, nondeterministic and the information on which we can base these predictions is often sparse. We consider longitudinal vehicle consumption model of an ideal vehicle and reformulate it in closed form as a function of travel time and speed profile statistics. Microscopic traffic simulation of mid-sized European city is used to study the dependence of consumption on the departure time of day.
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Kubička et al. (2016) studied this question.
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