An Eco-Route Planner for Heavy Duty Vehicles

• 作者: Maria Pia Fanti Agostino Marcello Mangini Alfredo Favenza Gianvito Difilippo
• 来源期刊: 自动化学报（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: PAPERS
• 页码范围: 37-51
• 页数: 15页
• 语种: 英文
• DOI: 10.1109/JAS.2020.1003456

摘要

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.