可持续商用车车队创新路线规划系统架构

Florian Anghelache, D. Mitrea, N. Goga, A. Vasilățeanu, Vladut Radulescu, Diana Scurtu, D. Musat
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引用次数: 1

摘要

目前,交通运输行业面临的主要挑战是降低劳动力成本、规划时间和碳足迹。大多数传统车辆排放大量的污染物,加剧了全球变暖。在本文中,我们将讨论iRoute的系统架构,这是一种专门针对商用车车队的创新路线规划解决方案,同时考虑到电动汽车对其驾驶自主性和优化路线沿线充电站的特定约束。我们还将介绍该解决方案的用例,然后详细介绍主要组件:车辆数据模块、集成模块、数据库、处理服务、用户配置文件、优化引擎、路线监控服务、驾驶员反馈、Web应用程序和移动应用程序。本文基于Eureka项目PN-III-P3-3.5-EUK-2019-0210的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Architecture of an Innovative Route Planning System for Sustainable Commercial Vehicle Fleets
Nowadays the main challenges for transportation industry are to reduce labor costs, planning time and carbon footprint. Most of the conventional vehicles release considerable volumes of pollutants which accentuate global warming. In this paper we will write about the system architecture of iRoute, an innovative route planning solution specialized for commercial vehicle fleets, considering also electrical vehicles with specific constraints about their drive autonomy and charging stations along the optimized route. We will also describe use cases of such a solution and then detail the main components: Vehicle Data Module, Integration Module, Database, Processing services, User Profile, Optimization Engine, Route monitor services, Driver feedback, Web Application and Mobile Application. This paper is based on the work on Eureka project PN-III-P3-3.5-EUK-2019-0210.
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