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Three dimensional modelling of Porto's network for electric mobility simulation

机译:用于电动迁移率仿真的Porto网络的三维建模

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摘要

Elevation data is very important for precise electric vehicle simulation. However, traffic simulators are often strictly two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. In particular, SUMO - Simulation of Urban Mobility, an often used microscopic traffic simulation platform, relies on urban networks previously modelled with elevation data in order to provide access to this information during simulations. This work intends on tackling the problem of how to add this elevation data to urban network models - in particular for the case of the Porto urban network, in Portugal. With this goal in mind, a comparison between different altitude information retrieval approaches is made and a simple tool to annotate network models with altitude data is proposed. This paper starts by describing the methodological approach followed to develop the work, then describing and analysing its main findings. This description includes an in-depth explanation of the proposed tool. Lastly, this paper reviews some related work to this subject.
机译:高程数据对于精确的电动汽车仿真非常重要。然而,交通模拟器通常严格地是二维的,并且不提供考虑高度的城市网络建模的能力。特别是,SUMO-城市交通模拟,一种经常使用的微观交通模拟平台,依赖于以前用海拔数据建模的城市网络,以便在模拟过程中访问此信息。这项工作旨在解决如何将高程数据添加到城市网络模型的问题,尤其是在葡萄牙的波尔图城市网络的情况下。考虑到这一目标,对不同的海拔高度信息检索方法进行了比较,并提出了一种使用海拔高度数据注释网络模型的简单工具。本文首先描述了开展这项工作所遵循的方法论方法,然后描述并分析了其主要发现。此描述包括对所建议工具的深入说明。最后,本文回顾了与此主题相关的一些工作。

著录项

  • 来源
  • 会议地点 Gran Canaria(ES)
  • 作者单位

    Artificial Intelligence and Computer Science Lab, Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s 4200-465 - Porto, Portugal;

    Artificial Intelligence and Computer Science Lab, Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s 4200-465 - Porto, Portugal;

    Artificial Intelligence and Computer Science Lab, Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s 4200-465 - Porto, Portugal;

    Artificial Intelligence and Computer Science Lab, Department of Informatics Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s 4200-465 - Porto, Portugal;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Data models; Global Positioning System; Google; Electric vehicles; Roads; Biological system modeling;

    机译:数据模型;全球定位系统;谷歌;电动汽车;道路;生物系统建模;
  • 入库时间 2022-08-26 13:51:40

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