Estimating energy consumption for routing algorithms

K. Kraschl-Hirschmann, M. Fellendorf
{"title":"Estimating energy consumption for routing algorithms","authors":"K. Kraschl-Hirschmann, M. Fellendorf","doi":"10.1109/IVS.2012.6232127","DOIUrl":null,"url":null,"abstract":"Due to increased public discussion on global climate change and increased awareness of environmental issues in general, a variety of transport related strategies are being developed to reduce the energy consumption of road travel. Pre-trip journey planners and on-trip navigation systems are widely used to identify optimal routes. Travel time, trip distance and travel cost are usually used as criteria to search for the best route and suitable alternatives. However, energy use could also be used as a criterion in these systems to identify energy minimizing routes will be one measure to reduce fuel consumption. In order to identify these ”eco-friendly” routes, the energy consumption for each link of a network must be computed quickly and precisely. This paper presents an approach for calculating link energy consumption based on the actual power needed to overcome the driving resistance for each link using link travel speeds and v/c-ratios. The proposed method can be embedded in routing algorithms and be used as one component in the optimization of the route algorithm's generalized cost function.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2012.6232127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

Due to increased public discussion on global climate change and increased awareness of environmental issues in general, a variety of transport related strategies are being developed to reduce the energy consumption of road travel. Pre-trip journey planners and on-trip navigation systems are widely used to identify optimal routes. Travel time, trip distance and travel cost are usually used as criteria to search for the best route and suitable alternatives. However, energy use could also be used as a criterion in these systems to identify energy minimizing routes will be one measure to reduce fuel consumption. In order to identify these ”eco-friendly” routes, the energy consumption for each link of a network must be computed quickly and precisely. This paper presents an approach for calculating link energy consumption based on the actual power needed to overcome the driving resistance for each link using link travel speeds and v/c-ratios. The proposed method can be embedded in routing algorithms and be used as one component in the optimization of the route algorithm's generalized cost function.
路由算法的能量消耗估计
由于公众对全球气候变化的讨论增加,对一般环境问题的认识增加,正在制定各种与运输有关的战略,以减少公路旅行的能源消耗。出行前规划系统和出行中导航系统被广泛用于确定最优路线。旅行时间、旅行距离和旅行费用通常作为寻找最佳路线和合适替代方案的标准。然而,能源使用也可以作为这些系统的标准,以确定能源最小化路线,这将是减少燃料消耗的一项措施。为了确定这些“环保”路线,必须快速准确地计算网络中每个链路的能耗。本文提出了一种计算链路能耗的方法,该方法基于使用链路行进速度和v/c比来克服每个链路的驱动阻力所需的实际功率。该方法可以嵌入到路由算法中,并作为路由算法广义代价函数优化的一个组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信