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Design and Implementation of a CANBus-Based Eco-Driving System for Public Transport Bus Services

机译：用于公共交通总线服务的麻菜型生态驾驶系统的设计与实现

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Driving vehicles according to eco-driving principles and techniques have significant impact on decreasing both fuel consumption and carbon dioxide (CO2) emissions. In addition to some kind of technical and/or mechanical features brought by today & x2019;s new generation vehicles, driver behavior is also one of the greatest factors affecting the fuel consumption. Many studies show that the effect of eco-driving education on the drivers loses its impact in long term and there needs some sort of continuous monitoring and/or feedback mechanisms. This kind of driver monitoring becomes very critical especially in fleets composed of heavy-duty vehicles, such as municipality buses, truck fleets, etc. Moreover, in order to adapt behavior to drive more economically, information about instant fuel consumption has to be provided to the driver. Hence, in this paper, we introduce an eco-driving system in which data gathered from the controller area network (CANBus) of public transport vehicles are processed for both comparative and fair evaluation of bus drivers & x2019; eco-driving performance. Moreover, in-vehicle components of the system guide the drivers during their trips; provide feedbacks and real-time warnings considering the fuel consumption. Developed system was successfully deployed and evaluated in one of the public metrobus systems used by approximately 250000 passengers every day. Based on the 15-months evaluation period, the results are very promising in the sense that both drivers and operators found the system useful and the system provided fuel saving up to approximately 5 & x0025; even in the short term of monthly comparisons.
机译：根据生态驱动原理和技术驾驶车辆对降低燃料消耗和二氧化碳（CO 2 ）排放产生显着影响。除了今天带来的某种技术和/或机械特征以及X2019的新一代车辆，驾驶员行为也是影响燃料消耗的最大因素之一。许多研究表明，生态驾驶教育对司机的影响失去了长期影响，需要某种连续监测和/或反馈机制。这种驾驶员监控变得非常关键，特别是在由城市公共汽车，卡车舰队等重型车辆组成的舰队中，此外，为了使行为更加经济地推动，必须提供有关即时燃料消耗的信息司机。因此，在本文中，我们介绍了一种生态驾驶系统，其中从控制器区域网络（Canbus）收集的公共交通工具的数据被处理，用于总线驱动器和X2019的比较和公平评估;生态驾驶表现。此外，系统的车载部件在其旅行期间引导司机;考虑到燃料消耗，提供反馈和实时警告。开发系统已成功部署和评估每天约250000乘客的公共元流系统之一。基于15个月的评估期，结果非常有希望，司机和运营商发现系统有用，系统提供燃料可节省大约5＆x0025;即使在月度比较的短期内。

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