2022 IEEE International Smart Cities Conference (ISC2)最新文献_第7页

The gap between cycling practices and mapping services for smart cycling 骑行实践与智能骑行地图服务之间的差距

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922089

C. Carvalho, R. Jose

{"title":"The gap between cycling practices and mapping services for smart cycling","authors":"C. Carvalho, R. Jose","doi":"10.1109/ISC255366.2022.9922089","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922089","url":null,"abstract":"Cycling is gaining priority in urban mobility policies and smart cities should be prepared to offer smart cycling services that help to promote such transition. A key element for many of those services is a Geographic Information System and particularly a road network model that represents all the possible roads in a city. The main contribution of this work is the identification and characterization of an important gap between the GPS traces corresponding to the real routes made by cyclists and their representation in the road network model of Open Street Map (OSM). More specifically, there are parts of the GPS traces that cannot be mapped into the road network of OSM, because they have no matching representation. We call these segments, ad-hoc segments. To develop a deeper understanding about this problem, we collected data from a specially designed route and analysed how the respective trace was mapped into OSM. We identified all the occurrences of ad-hoc segments and categorized them according to their root cause. The results suggest that the main overall cause of these problems is directly linked with limitations of the road network model, such as missing roads. This seems to indicate that road network models, as commonly used in OSM, do not properly address the specificities of cycling, or micro-mobility in general. This problem has a major impact in the quality of the services provided to urban cyclists and in the value of the data available for micro-mobility planning and management.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"1 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":"129666873","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

Machine and Deep Learning using Remote Sensing to reach zero emission cities: A Survey 利用遥感实现零排放城市的机器和深度学习:调查

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9921928

Daniele Diodati, Andrea Cruciani, Antonio Natale

引用次数: 0

Data as Partner (DAP): Integrating Automation with Daily Living 数据作为合作伙伴(DAP):将自动化与日常生活相结合

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922431

Sonia Hassan, Drishty Sobnath, E. Snell, Olufemi Isiaq

引用次数: 1

Analyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors 使用非侵入式物联网传感器分析世界上最长的连续自行车道上的骑行活动

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922573

F. Filali, Fatima Tayeb, Hamadi Chihaoui

引用次数: 1

An IoT Platform for the Development of Low-cost Emergencies Detection Units based on Soft Sensors 基于软传感器的低成本突发事件检测装置物联网开发平台

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922105

Franklin Oliveira, Dan Costa, Flávio Assis

引用次数: 2

Rapid-to-Deploy Wireless Water Pressure Sensors for the Assessment of Water Distribution Systems 用于供水系统评估的快速部署无线水压传感器

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922156

K. Admassu, Katherine A. Flanigan, Wentao Wang, C. Wolf, J. Lynch

{"title":"Rapid-to-Deploy Wireless Water Pressure Sensors for the Assessment of Water Distribution Systems","authors":"K. Admassu, Katherine A. Flanigan, Wentao Wang, C. Wolf, J. Lynch","doi":"10.1109/ISC255366.2022.9922156","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922156","url":null,"abstract":"Drinking water systems require efficient operations to ensure high-quality water is delivered to customers with an adequate level of pressure. Municipalities adopt methods to analyze system operations to ensure they are meeting operational objectives. For example, pressure and flow sensors are commonly deployed but such sensors are spatially sparse in the distribution system. Hydraulic models are also employed to simulate the performance of drinking water systems, with operational sensor data used to refine the models for greater accuracy. However, there remains the need for a data collection method that can be easily deployed to collect measurements that densely map pressures across the drinking water system. This paper describes the design and validation of a low-cost, rapid-to-deploy wireless water pressure sensor designed to monitor water pressures in a municipal drinking water system. The sensors attached to a household hose spigot, register their GPS location, and communicate average measured pressures using a cellular modem. The system was validated using the water distribution system in Benton Harbor, Michigan to map areas suspected of low operational pressures. The study proved the ease and reliability of the monitoring system while providing reliable pressure data that was used to model the performance of the monitored system.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"64 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":"121565666","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

Smartification of urbanized cities, approach and proposal 城市化城市的智慧化、途径与建议

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922296

L. Ferrero, D. Cannata, Alessandro Ceccon

引用次数: 1

Smart City Data in Urban Wellbeing Estimation 城市福祉评估中的智慧城市数据

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9921806

Tzirath Perez Oteiza, P. Mooney, Liadh Kelly

引用次数: 0

Green and robust optimal design of Single Frequency Networks by min-max regret and ACO-based learning 基于最小最大遗憾和aco学习的单频网络绿色鲁棒优化设计

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922401

Fabio D’Andreagiovanni, Hicham Lakhlef, Antonella Nardin

{"title":"Green and robust optimal design of Single Frequency Networks by min-max regret and ACO-based learning","authors":"Fabio D’Andreagiovanni, Hicham Lakhlef, Antonella Nardin","doi":"10.1109/ISC255366.2022.9922401","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922401","url":null,"abstract":"Notwithstanding the introduction of brand new 5G-based wireless services, single frequency networks supporting digital television and radio broadcasting still represent a major source of telecommunications services in modern smart cities. In this work, we propose a robust optimization model for the green design of second generation single frequency networks based on the digital television DVB-T standard, whose ongoing adoption requires to reconfigure and redesign existing networks. Our robust model aims at protecting design solutions against the data uncertainty that naturally affect propagation of signals in a real environment. For reducing conservatism of solutions, we refer to a heuristic min-max regret paradigm and to solve the resulting problem we propose to adopt a hybrid exact-heuristic algorithm based on the combination of an Ant Colony Optimization-like learning procedure, exploiting tight formulations of the optimization model, with an exact large neighborhood search. Results of computational tests considering realistic instances show that the heuristic min-max regret approach can produce solutions characterized by a substantially lower price of robustness without sacrificing protection against data uncertainty.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"10 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":"133964725","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

Smart City Governance and the challenge of digital platforms within the public sector 智慧城市治理和公共部门数字平台的挑战

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922452

Viviana Vaira

引用次数: 3