2022 IEEE International Smart Cities Conference (ISC2)最新文献

Towards Smart Cities for Tourism: the POLIS-EYE Project 迈向智慧旅游城市:POLIS-EYE项目

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922095

Alessandro Seravalli, Mariaelena Busani, Simone Venturi, A. Brutti, C. Petrovich, Angelo Frascella, F. Paolucci, M. Di Felice, M. Lombardi, Elena Bellodi, Riccardo Zese, Francesco Bertasi, Elia Balugani, Alket Cecaj, R. Gamberini, M. Mamei, Marco Picone

引用次数: 0

An Integrated Platform for Mining Crowdsourced Data for Smart Traffic Prediction 面向智能交通预测的众包数据挖掘集成平台

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922015

D. Cenni, Chenyang Wang, Ahmed Ferdous Antor, Qi Han

{"title":"An Integrated Platform for Mining Crowdsourced Data for Smart Traffic Prediction","authors":"D. Cenni, Chenyang Wang, Ahmed Ferdous Antor, Qi Han","doi":"10.1109/ISC255366.2022.9922015","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922015","url":null,"abstract":"Traffic prediction can help people make better travel plans by avoiding traffic jams, and also help the city to more proactively deploy emergency response vehicles. The continuous growth of social networks made possible the use of large amounts of data for traffic prediction. One of the biggest challenges in this regard is to acquire and process crowdsourced data to build effective models for traffic prediction. In this paper we propose a novel framework for processing crowdsourced data, with the goal of building effective traffic prediction models. We apply our solution to predict traffic related events in the busiest interstate in Colorado (USA), using Waze crowdsourced data. The events considered in the dataset are moderate jam, heavy jam, and stand still jam. In addition to traffic alerts crowdsourced data via Waze, we also use the traffic speed and weather data. The proposed solution proves to be effective and highly scalable, and the model's best accuracy on the test set is ~76%. This approach can be easily generalized in order to develop models that are able to provide effective traffic related predictions.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Renewable powered Battery Swapping Stations for sustainable urban mobility 可持续城市交通的可再生动力电池交换站

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9921757

Daniela Renga, Gianmarco Centonze, M. Meo

{"title":"Renewable powered Battery Swapping Stations for sustainable urban mobility","authors":"Daniela Renga, Gianmarco Centonze, M. Meo","doi":"10.1109/ISC255366.2022.9921757","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9921757","url":null,"abstract":"Due to sustainability concerns raised by the transportation sector, still relying mostly on oil as main energy source, urban mobility is quickly shifting towards the adoption of electric vehicles (EVs), The EV charging process should heavily rely on Renewable Energy Sources (RES) and be smartly scheduled to promote sustainability and pollution reduction. In this context, renewable powered Battery Swapping Stations (BSS) represent a promising solution to enable sustainable and feasible e-mobility. Focusing on a BSS powered by photovoltaic panels, we investigate the issue of properly dimensioning its capacity (in terms of number of sockets) and the renewable energy supply to satisfy the battery swapping demand, trading off cost, Quality of Service and feasibility constraints. In addition, we analyse the potential benefits of smart scheduling strategies for battery recharging. Our results show that considerable cost saving of up to almost 40% can be achieved with a local RE supply to power the BSS. Furthermore, a proper tuning of the scheduling strategy configuration parameters is required to better trade off cost and Quality of Service, based on the desired performance targets.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"20 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120927713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Interconnecting Separate Transportation Systems by Introducing Exchange Points 通过引入交换点连接不同的运输系统

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922308

D. Esztergár-Kiss, Alireza Ansariyar, Geza Katona

引用次数: 0

An Edge System for the Safety of Cyclists in the Urban Area 城市骑自行车安全的边缘系统

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922454

Francesco Martella, M. Fazio, Giuseppe Ciulla, Roberto Di Bernardo, A. Celesti, Valeria Lukaj, Mario Colosi, M. D. Gangi, M. Villari

引用次数: 1

A Toolchain and Interoperability Framework to enhance privacy and individual control at the Edge 一个工具链和互操作性框架，以增强边缘的隐私和个人控制

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922309

P. Katrakazas, Theodora Kallinolitou, Stella Markopoulou, Argyro Chronopoulou

{"title":"A Toolchain and Interoperability Framework to enhance privacy and individual control at the Edge","authors":"P. Katrakazas, Theodora Kallinolitou, Stella Markopoulou, Argyro Chronopoulou","doi":"10.1109/ISC255366.2022.9922309","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922309","url":null,"abstract":"Internet-of-Things (IoT) has the potential to create new services and markets by allowing the exploration of new, often completely different ways of doing things, based on the clustering and aggregation of data from different sources and fields of activity. As technology advances, new ethical, legal, and technological concerns arise. In this paper, we present five key pillars of innovation towards privacy-preserving edge computing, regarding smart sampling of IoT devices, anonymous authentication and consent management, dynamic data-driven pattern management, opportunistic IoT clustering, distributed IoT data governance, and resource integrity validation. The overall concept of this paper, is to create a comprehensive methodological framework and toolset for definition, deployment and operation of privacy-compliant IoT platforms tailored to specific use-cases. During this process we are not creating “yet another IoT platform”., but rather building upon past efforts to the maximum extent possible. This approach takes into consideration existing solutions in the following areas: high-level concepts and standards; integration and interoperability frameworks; IoT platforms and infrastructural elements.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128369237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors 基于车载运动传感器的区域垃圾量估算区域特征分析

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922487

Y. Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, F. Naya, N. Ueda

引用次数: 0

Optimization of O2O Food Delivery Strategy in Smart Cities 智慧城市O2O外卖战略优化

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9921961

Xiangyu Kong, Guangyu Zou, Heng Qi, Jiafu Tang

引用次数: 0

Participatory Risk Management in the Smart City 智慧城市中的参与式风险管理

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922040

Levent Görgü, M. O'Grady, E. Mangina, Gregory M. P. O'Hare

引用次数: 0

Optimizing the deployment of multi-sensors emergencies detection units based on the presence of response centers in smart cities 基于智慧城市响应中心的多传感器突发事件检测单元优化部署

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922075

J. P. J. Peixoto, D. G. Costa, Washington de J. S. da Franca Rocha, P. Portugal, F. Vasques

{"title":"Optimizing the deployment of multi-sensors emergencies detection units based on the presence of response centers in smart cities","authors":"J. P. J. Peixoto, D. G. Costa, Washington de J. S. da Franca Rocha, P. Portugal, F. Vasques","doi":"10.1109/ISC255366.2022.9922075","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922075","url":null,"abstract":"Among the innovative services provided by smart cities initiatives, emergencies management systems have stood out as a mean to prevent the occurrence of disasters in urban areas, detecting emergencies as soon as possible and triggering response actions. For that, such systems may rely on multiple emergencies detection units spread over a city, which will be used to detect abnormal situations and report them for further processing. Although the use of multi-sensors hardware units seems to be reasonable to detect a lot of emergency-related variables such as temperature, humidity, smoke, and toxic gases, cities may have different geographical zones concerning the potential negative impacts (risk) that an emergency may have until it is properly mitigated. Therefore, such risk associated to those zones should guide the deployment of emergencies detection units, but their computation is not straightforward and it may depend on different parameters. In this context, this paper proposes a mathematical model to compute mitigation zones in any city, taking as reference the availability of response centers retrieved from open geospatial databases, notably hospitals, fire departments, and police stations. An algorithm is defined to compute a critical index to each zone, which will be exploited to indicate the proportional number of detection units that should be allocated according to the total number of available units. Initial results for the city of Porto, Portugal, are presented, which are discussed when concerning the construction of practical emergencies management systems.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132171220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2