一种概率停车方法:用路线代替定点停车的好处

G. Fehér, B. Lajtha, Akos Lovasz
{"title":"一种概率停车方法:用路线代替定点停车的好处","authors":"G. Fehér, B. Lajtha, Akos Lovasz","doi":"10.5220/0005495400950100","DOIUrl":null,"url":null,"abstract":"Urban parking is an important issue in all modern countries. Technological advances, with in-car sensors and always connected smartphones have already paved the way to an ICT solution for this problem. However, every attempt - including that of such a big companies, as Google - has failed to provide a suitable solution. So far, the appeared solutions were centered around the notion of free parking spots. This approach does not take into account the dynamics of the traffic and the drivers outside of the system. Here we propose a fundamentally different approach based on parking probabilities and parking routes. Our solution can truly reduce the time, resource and environmental damage wasted on parking place hunting, while keeping the operational costs low and the users satisfied.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A probabilistic approach to parking: Benefits of routing instead of spotting\",\"authors\":\"G. Fehér, B. Lajtha, Akos Lovasz\",\"doi\":\"10.5220/0005495400950100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Urban parking is an important issue in all modern countries. Technological advances, with in-car sensors and always connected smartphones have already paved the way to an ICT solution for this problem. However, every attempt - including that of such a big companies, as Google - has failed to provide a suitable solution. So far, the appeared solutions were centered around the notion of free parking spots. This approach does not take into account the dynamics of the traffic and the drivers outside of the system. Here we propose a fundamentally different approach based on parking probabilities and parking routes. Our solution can truly reduce the time, resource and environmental damage wasted on parking place hunting, while keeping the operational costs low and the users satisfied.\",\"PeriodicalId\":408526,\"journal\":{\"name\":\"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005495400950100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005495400950100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

城市停车是所有现代国家的一个重要问题。车载传感器和始终联网的智能手机等技术进步已经为解决这一问题的ICT解决方案铺平了道路。然而,每一次尝试——包括像谷歌这样的大公司——都未能提供合适的解决方案。到目前为止,出现的解决方案都围绕着免费停车位的概念。这种方法没有考虑到交通的动态和系统外的驾驶员。在这里,我们提出了一种基于停车概率和停车路线的根本不同的方法。我们的解决方案可以真正减少在寻找停车位上浪费的时间、资源和环境,同时保持低运营成本和用户满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A probabilistic approach to parking: Benefits of routing instead of spotting
Urban parking is an important issue in all modern countries. Technological advances, with in-car sensors and always connected smartphones have already paved the way to an ICT solution for this problem. However, every attempt - including that of such a big companies, as Google - has failed to provide a suitable solution. So far, the appeared solutions were centered around the notion of free parking spots. This approach does not take into account the dynamics of the traffic and the drivers outside of the system. Here we propose a fundamentally different approach based on parking probabilities and parking routes. Our solution can truly reduce the time, resource and environmental damage wasted on parking place hunting, while keeping the operational costs low and the users satisfied.
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
×
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