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Ecosmart and TutorDrive: Tools for fuel consumption reduction

机译:Ecosmart和TutorDrive:降低油耗的工具

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The European Commission has recently promoted research programs aimed at finding solutions to the ever more compelling problem of air pollution from road vehicles and has also indicated among the possible impacts of cooperative Intelligent transportation a better sustainability, by cutting down pollutant emissions and reducing consumptions. In fact many practical solutions will develop that allow drivers and managements to optimize resources and to contain costs and the emissions of pollutants by applying communication systems between vehicles (V2V) and between vehicles and infrastructure (V2I). Along this mainstream this paper present a cooperative system which offer drivers the ability to manage their consumption and driving style, suggesting corrections to the behavior usually adopted. The new contribution of this paper is the cooperative approach between drivers to achieve a common goal of a better common energy consumption strategy. Since the fuel consumption has to be evaluated with regards to the specific vehicle type the system is based also on crowdsourcing of the specific vehicle consumption performances. The paper describes a system that gathers data on fuel consumption from the cooperating drivers that by can build together the data set necessary to the system itself and accept this new paradigm: crowd sourced cooperation for a better world.
机译:欧盟委员会最近促进了旨在寻求解决方案的解决方案,以解决道路车辆日益严重的空气污染问题,并且还指出,通过减少污染物排放和减少消费,合作智能交通可能会带来更好的可持续性。实际上,将会开发出许多实用的解决方案,使驾驶员和管理人员可以通过在车辆之间(V2V)以及车辆与基础设施之间(V2I)的通信系统来优化资源,控制成本和污染物排放。沿着这个主流,本文提出了一种合作系统,该系统为驾驶员提供了管理他们的消费和驾驶方式的能力,建议对通常采用的行为进行纠正。本文的新贡献是驱动程序之间的协作方法,以实现更好的通用能耗策略的通用目标。由于必须根据特定车辆类型评估燃油消耗,因此该系统还基于特定车辆消耗性能的众包。本文描述了一个系统,该系统从合作的驱动程序中收集燃料消耗数据,从而可以将系统本身所需的数据集组合在一起,并接受这种新的范式:众包合作,以创造更美好的世界。

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