ROUTE: A Framework for Customizable Smart Mobility Planners

Fahed Alkhabbas, Martina De Sanctis, A. Bucchiarone, A. Cicchetti, Romina Spalazzese, P. Davidsson, Ludovico Iovino
{"title":"ROUTE: A Framework for Customizable Smart Mobility Planners","authors":"Fahed Alkhabbas, Martina De Sanctis, A. Bucchiarone, A. Cicchetti, Romina Spalazzese, P. Davidsson, Ludovico Iovino","doi":"10.1109/ICSA53651.2022.00024","DOIUrl":null,"url":null,"abstract":"Multimodal journey planners are used worldwide to support travelers in planning and executing their journeys. Generated travel plans usually involve local mobility service providers, consider some travelers’ preferences, and provide travelers information about the routes’ current status and expected delays. However, those planners cannot fully consider the special situations of individual cities when providing travel planning services. Specifically, authorities of different cities might define customizable regulations or constraints of movements in the cities (e.g., due to construction works or pandemics). Moreover, with the transformation of traditional cities into smart cities, travel planners could leverage advanced monitoring features. Finally, most planners do not consider relevant information impacting travel plans, for instance, information that might be provided by travelers (e.g., a crowded square) or by mobility service providers (e.g., changing the timetable of a bus). To address the aforementioned shortcomings, in this paper, we propose ROUTE, a framework for customizable smart mobility planners that better serve the needs of travelers, local authorities, and mobility service providers in the dynamic ecosystem of smart cities. ROUTE is composed of an architecture, a process, and a prototype developed to validate the feasibility of the framework. Experiments’ results show that the framework scales well in both centralized and distributed deployment settings.","PeriodicalId":179123,"journal":{"name":"2022 IEEE 19th International Conference on Software Architecture (ICSA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 19th International Conference on Software Architecture (ICSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSA53651.2022.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Multimodal journey planners are used worldwide to support travelers in planning and executing their journeys. Generated travel plans usually involve local mobility service providers, consider some travelers’ preferences, and provide travelers information about the routes’ current status and expected delays. However, those planners cannot fully consider the special situations of individual cities when providing travel planning services. Specifically, authorities of different cities might define customizable regulations or constraints of movements in the cities (e.g., due to construction works or pandemics). Moreover, with the transformation of traditional cities into smart cities, travel planners could leverage advanced monitoring features. Finally, most planners do not consider relevant information impacting travel plans, for instance, information that might be provided by travelers (e.g., a crowded square) or by mobility service providers (e.g., changing the timetable of a bus). To address the aforementioned shortcomings, in this paper, we propose ROUTE, a framework for customizable smart mobility planners that better serve the needs of travelers, local authorities, and mobility service providers in the dynamic ecosystem of smart cities. ROUTE is composed of an architecture, a process, and a prototype developed to validate the feasibility of the framework. Experiments’ results show that the framework scales well in both centralized and distributed deployment settings.
ROUTE:一个可定制的智能移动规划框架
世界各地都在使用多式联运旅行计划器来支持旅行者计划和执行他们的旅行。生成的旅行计划通常涉及当地移动服务提供商,考虑旅行者的一些偏好,并向旅行者提供有关路线当前状态和预期延误的信息。然而,这些规划者在提供旅行规划服务时,并不能充分考虑各个城市的特殊情况。具体而言,不同城市的主管部门可能会对城市内的人员流动制定可定制的规定或限制(例如,由于建筑工程或大流行病)。此外,随着传统城市向智慧城市的转变,旅行规划者可以利用先进的监控功能。最后,大多数规划者没有考虑影响旅行计划的相关信息,例如,可能由旅行者提供的信息(例如,拥挤的广场)或移动服务提供商提供的信息(例如,改变公共汽车的时间表)。为了解决上述缺点,本文提出了ROUTE,这是一个可定制的智能移动规划框架,可以更好地满足智能城市动态生态系统中旅行者、地方当局和移动服务提供商的需求。ROUTE由一个体系结构、一个流程和一个用于验证框架可行性的原型组成。实验结果表明,该框架在集中式和分布式部署环境下都具有良好的可扩展性。
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:604180095
Book学术官方微信