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An Eco-Route planner for heavy duty vehicles
IEEE/CAA Journal of Automatica Sinica ( IF 11.8 ) Pub Date : 2020-11-26 , DOI: 10.1109/jas.2020.1003456
Maria Pia Fanti 1 , Agostino Marcello Mangini 1 , Alfredo Favenza 2 , Gianvito Difilippo 3
Affiliation  

Driving style, traffic and weather conditions have a significant impact on vehicle fuel consumption and in particular, the road freight traffic significantly contributes to the CO2 increase in atmosphere. This paper proposes an Eco-Route Planner devoted to determine and communicate to the drivers of Heavy-Duty Vehicles ( HDVs ) the eco-route that guarantees the minimum fuel consumption by respecting the travel time established by the freight companies. The proposed eco-route is the optimal route from origin to destination and includes the optimized speed and gear profiles. To this aim, the Cloud Computing System architecture is composed of two main components: the Data Management System that collects, fuses and integrates the raw external sources data and the Cloud Optimizer that builds the route network, selects the Eco-Route and determines the optimal speed and gear profiles. Finally, a real case study is discussed by showing the benefit of the proposed Eco-Route planner.

中文翻译:

重型车辆的生态路线规划器

驾驶方式,交通和天气状况对车辆的燃油消耗有重大影响,特别是公路货运对大气中二氧化碳的增加有很大贡献。本文提出了一种生态路线计划器,专门用于确定重型卡车(HDV)并与之沟通,该生态路线可通过尊重货运公司确定的出行时间来确保最低油耗。拟议的生态路线是从起点到目的地的最佳路线,并包括优化的速度和档位。为此,云计算系统架构由两个主要组件组成:用于收集,融合和集成原始外部源数据的数据管理系统;以及用于构建路由网络的云优化器;选择生态路线并确定最佳速度和档位。最后,通过展示拟议的生态路线规划器的好处来讨论实际案例研究。
更新日期:2020-11-27
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