节能自动驾驶:自然生态acc对后续车辆的影响

James Fleming, W. Midgley
{"title":"节能自动驾驶:自然生态acc对后续车辆的影响","authors":"James Fleming, W. Midgley","doi":"10.1109/ICM54990.2023.10102074","DOIUrl":null,"url":null,"abstract":"The optimal control problem of eco-driving, driving a vehicle using a minimal amount of fuel or electrical energy, has received much attention in the intelligent vehicles literature with many recent proposals for eco-driving adaptive cruise control systems (eco-ACC). In this paper, we consider a recentlyintroduced ‘naturalistic’ eco-ACC approach, which was designed to give human-like behaviour in vehicle following. For this eco-ACC, we show that in car following and start-stop traffic scenarios, the eco-ACC benefits not only the ego vehicle but also a further following vehicle. To see if further reductions to total energy consumption are possible, we extend the eco-ACC system with an optimal control formulation that also minimises energy losses of the following vehicle assuming it behaves according to the intelligent driver model (IDM). This gives some minor reductions in energy usage but surprisingly, for a follower that behaves according to the IDM, the naturalistic eco-ACC appears to be nearly optimal for the problem of minimising total energy loss of both the ego vehicle and its follower.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy-efficient automated driving: effect of a naturalistic eco-ACC on a following vehicle\",\"authors\":\"James Fleming, W. Midgley\",\"doi\":\"10.1109/ICM54990.2023.10102074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The optimal control problem of eco-driving, driving a vehicle using a minimal amount of fuel or electrical energy, has received much attention in the intelligent vehicles literature with many recent proposals for eco-driving adaptive cruise control systems (eco-ACC). In this paper, we consider a recentlyintroduced ‘naturalistic’ eco-ACC approach, which was designed to give human-like behaviour in vehicle following. For this eco-ACC, we show that in car following and start-stop traffic scenarios, the eco-ACC benefits not only the ego vehicle but also a further following vehicle. To see if further reductions to total energy consumption are possible, we extend the eco-ACC system with an optimal control formulation that also minimises energy losses of the following vehicle assuming it behaves according to the intelligent driver model (IDM). This gives some minor reductions in energy usage but surprisingly, for a follower that behaves according to the IDM, the naturalistic eco-ACC appears to be nearly optimal for the problem of minimising total energy loss of both the ego vehicle and its follower.\",\"PeriodicalId\":416176,\"journal\":{\"name\":\"2023 IEEE International Conference on Mechatronics (ICM)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Mechatronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM54990.2023.10102074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM54990.2023.10102074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生态驾驶的最优控制问题,即使用最少的燃料或电能驾驶车辆,在智能汽车文献中受到了广泛关注,最近提出了许多生态驾驶自适应巡航控制系统(eco-ACC)。在本文中,我们考虑了最近引入的“自然主义”生态acc方法,该方法旨在在车辆跟随中提供类似人类的行为。对于这种eco-ACC,我们表明,在汽车跟随和启停交通场景下,eco-ACC不仅有利于自我车辆,也有利于后面的车辆。为了了解是否有可能进一步降低总能耗,我们对eco-ACC系统进行了扩展,采用最优控制公式,假设其按照智能驾驶员模型(IDM)运行,该公式还可以最大限度地减少后续车辆的能量损失。这在能源使用上有一些微小的减少,但令人惊讶的是,对于一个根据IDM行为的追随者来说,自然生态acc似乎是最小化自我车辆及其追随者总能量损失问题的最优选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Energy-efficient automated driving: effect of a naturalistic eco-ACC on a following vehicle
The optimal control problem of eco-driving, driving a vehicle using a minimal amount of fuel or electrical energy, has received much attention in the intelligent vehicles literature with many recent proposals for eco-driving adaptive cruise control systems (eco-ACC). In this paper, we consider a recentlyintroduced ‘naturalistic’ eco-ACC approach, which was designed to give human-like behaviour in vehicle following. For this eco-ACC, we show that in car following and start-stop traffic scenarios, the eco-ACC benefits not only the ego vehicle but also a further following vehicle. To see if further reductions to total energy consumption are possible, we extend the eco-ACC system with an optimal control formulation that also minimises energy losses of the following vehicle assuming it behaves according to the intelligent driver model (IDM). This gives some minor reductions in energy usage but surprisingly, for a follower that behaves according to the IDM, the naturalistic eco-ACC appears to be nearly optimal for the problem of minimising total energy loss of both the ego vehicle and its follower.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Sliding Mode-Based Design of Unified Force and Position Control for Series Elastic Actuator Frequency-domain Analysis for Infinite Resets Systems* Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm Energy Localization in Spring-Motor Coupling System by Switching Mass Control Drowsy Driver Detection System For Poor Light Conditions
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1