Ecosmart和TutorDrive:降低燃油消耗的工具

V. Astarita, G. Guido, D. W. Mongelli, Vincenzo Pasquale Giofrè
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引用次数: 14

摘要

欧盟委员会(European Commission)最近推动了一些研究项目,旨在为道路车辆造成的日益严重的空气污染问题寻找解决方案,并指出合作智能交通的可能影响之一是通过减少污染物排放和减少消耗,实现更好的可持续性。事实上,将会开发出许多实用的解决方案,通过应用车辆之间(V2V)以及车辆与基础设施之间(V2I)的通信系统,使驾驶员和管理层能够优化资源,控制成本和污染物排放。沿着这一主流,本文提出了一个合作系统,为驾驶员提供管理他们的消费和驾驶风格的能力,并建议纠正通常采用的行为。本文的新贡献是驾驶员之间的合作方式,以实现更好的共同能源消耗策略的共同目标。由于燃料消耗必须根据特定的车辆类型进行评估,因此该系统也是基于特定车辆消耗性能的众包。本文描述了一个系统,该系统从合作的驾驶员那里收集燃料消耗数据,通过这些数据可以共同构建系统本身所需的数据集,并接受这种新的范式:为更美好的世界而进行众包合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecosmart and TutorDrive: Tools for fuel consumption reduction
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.
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