利用自动交通计数器预测交通流速度

A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren
{"title":"利用自动交通计数器预测交通流速度","authors":"A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren","doi":"10.1109/DeSE.2019.00153","DOIUrl":null,"url":null,"abstract":"In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular – when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than traditional taxi companies to order the taxi. From the other point of view, they have the same disadvantage as the usage of individual transport is often associated with. It is the incomplete load of vehicles, which causes an additional negative impact on the environment as well as on the road network. This article presents a decision support system for taxi dispatch services based on the model of optimal route choice. Optimization is carried out with the help of multifactor analysis of transportation requirements and selection of the optimal route in accordance with given priorities. Such a system will reduce the cost of transportation and negative impact on the environment through the selection of fellow travelers by using a mobile application.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"33 1","pages":"823-830"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Utilizing Automatic Traffic Counters to Predict Traffic Flow Speed\",\"authors\":\"A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren\",\"doi\":\"10.1109/DeSE.2019.00153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular – when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than traditional taxi companies to order the taxi. From the other point of view, they have the same disadvantage as the usage of individual transport is often associated with. It is the incomplete load of vehicles, which causes an additional negative impact on the environment as well as on the road network. This article presents a decision support system for taxi dispatch services based on the model of optimal route choice. Optimization is carried out with the help of multifactor analysis of transportation requirements and selection of the optimal route in accordance with given priorities. Such a system will reduce the cost of transportation and negative impact on the environment through the selection of fellow travelers by using a mobile application.\",\"PeriodicalId\":6632,\"journal\":{\"name\":\"2019 12th International Conference on Developments in eSystems Engineering (DeSE)\",\"volume\":\"33 1\",\"pages\":\"823-830\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th International Conference on Developments in eSystems Engineering (DeSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DeSE.2019.00153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DeSE.2019.00153","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

在第四次工业革命时代,变革的关键驱动力之一是共享经济,即所谓的“优步化”。优步化在服务领域发展尤为迅速,特别是在通过出租车服务组织个人客运方面。像优步和Gett这样的出租车服务,使用技术互联网平台,可以比传统的出租车公司更快、更便宜地订购出租车。从另一个角度来看,它们与使用个人交通工具有同样的缺点。这是车辆的不完全负荷,对环境和道路网络造成了额外的负面影响。提出了一种基于最优路线选择模型的出租车调度决策支持系统。通过对运输需求进行多因素分析,并根据给定的优先级选择最优路线进行优化。这样的系统将通过使用移动应用程序选择同行者,从而降低运输成本和对环境的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing Automatic Traffic Counters to Predict Traffic Flow Speed
In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular – when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than traditional taxi companies to order the taxi. From the other point of view, they have the same disadvantage as the usage of individual transport is often associated with. It is the incomplete load of vehicles, which causes an additional negative impact on the environment as well as on the road network. This article presents a decision support system for taxi dispatch services based on the model of optimal route choice. Optimization is carried out with the help of multifactor analysis of transportation requirements and selection of the optimal route in accordance with given priorities. Such a system will reduce the cost of transportation and negative impact on the environment through the selection of fellow travelers by using a mobile application.
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