{"title":"Analysis of Destination Lane Choice at Urban Intersections","authors":"J. Frazier, Matthew Vechione, Okan Gurbuz","doi":"10.1109/ISC251055.2020.9239090","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239090","url":null,"abstract":"In some states in the U.S., it is required by law that drivers use a designated destination lane at intersections, so as to avoid a potential collision with another concurrent turning movement; however, drivers do not always select the correct designated destination lane when turning and currently, there is no transportation model that can accurately predict which destination lane drivers will choose when turning at urban intersections. With the advent of connected and autonomous vehicles, there will be a period of time when some vehicles on the road are automated (either partially or fully), and others are still driven by humans. Therefore, there is a dire need for a model that can be used in conjunction with sensors in autonomous vehicles, to detect and predict if a human-driven vehicle will turn into the incorrect destination lane. This research makes use of two Next Generation Simulation (NGSIM) arterial street data sets in order to perform a comparative analysis of drivers’ destination lane choice behavior, specifically for left turns. The model accurately predicts when drivers choose lane 1 as their destination lane and performs poorly when predicting lanes 2 or 3 as their destination lane. This model (i) can be used in conjunction with sensors in automated vehicles to avoid potential collisions with human-driven vehicles; (ii) may be incorporated into microscopic traffic simulation tools in order to improve the safety of urban intersections; and (iii) illustrates the need for policy improvements at intersections, specifically as it relates to designated destination lanes.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":" 40","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088293","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}
{"title":"Adaptive Group Testing Models for Infection Detection of COVID-19","authors":"Zizhan Tang","doi":"10.1109/ISC251055.2020.9239057","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239057","url":null,"abstract":"Two adaptive group testing models are studied based on zero-error criterion in this paper. Firstly, for the single-stage group testing model, the analytical expression of optimal number of grouping members without integer constraints is given. Secondly, the optimal number of grouping members with integer constraints are given by numerical calculation. Finally, a grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed. The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982457","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}
Priscila Couto de Almeida, Larissa Paredes Muse, P. Abreu
{"title":"Proposal of a Methodology for Urban Continual Improvement with Smart Cities Integrated Solutions & Technologies","authors":"Priscila Couto de Almeida, Larissa Paredes Muse, P. Abreu","doi":"10.1109/ISC251055.2020.9239094","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239094","url":null,"abstract":"The inadequacy of current city governance processes is a result of their inherent complexity. From the study of city administration processes, supported by a systemic approach, it is identified a need to improve the efficiency and speed of the decision-making process, linked to the necessary improvements in this complex and constantly changing environment. Therefore, this paper presents a proposal of a methodology inspired by two other methodologies, which complement each other in order to provide the continuous, effective and rapid improvement of cities. This methodology was called Urban Continual Improvement and is composed by the 4U-Cycle (inspired in the PDCA Cycle) and the Agile Model for Urban Continual Improvement (based on the Scrum Methodology). Finally, it is demonstrated the importance of the contributions of Smart Cities Integrated Solutions & Technologies to the implementation of the proposed methodology and ultimately to increase citizens participation and improvement quality of life in the cities.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126861360","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}
{"title":"Understanding Twitter Telehealth Communication during the COVID-19 Pandemic using Hetero-Functional Graph Theory","authors":"Chun Lun Lit, Inas S. Khayal","doi":"10.1109/ISC251055.2020.9239034","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239034","url":null,"abstract":"The active COVID-19 pandemic continues to impose a significant burden on healthcare delivery systems around the world. In the United States, temporary reimbursement policy amendments forged significant changes to telehealth adoption, seemingly overnight. Policy changes now allow beneficiaries in all areas of the country to receive telehealth services, including in their home. Healthcare delivery systems and providers have had to adjust to meet the need for telehealth expansion. Significant funding poured into telehealth research, technology, and the healthcare delivery landscape, yet it is unclear how temporary these policies will be. Significant telehealth adoption casts strong implications for healthcare delivery in smart cities, which are in a position to leverage other technologies on top of the telehealth delivery model. With such a significant change to the healthcare delivery landscape, we sought to understand the public discourse around the telehealth topic through the Twitter social media platform. In this paper, we seek to characterize telehealth related Twitter communication patterns. We show that while classic Twitter social network analysis does not conceptually characterize the communication, hetero-functional graph theory analysis instead provides deeper insights about the dynamic communication behavior of telehealth in social media.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127865457","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}
{"title":"Emotional Contagion Modeled Through the Empathy Quotient: an Epidemiological Analogy Towards Social Sustainability","authors":"Filipa Ivars-Silva, R. Rossetti","doi":"10.1109/ISC251055.2020.9239040","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239040","url":null,"abstract":"The United Nations organization’s Agenda for 2030 is based on five fundamental pillars: people, planet, prosperity, peace, and partnership. Hence, communities around the world will need to rely on factors that can promote Social Sustainability. Our work envisages three essential concepts to leverage social development: Empathy, Emotions, and Social Sustainability. It emerges from the hypothesis that the behavior of the Emotional Contagion phenomenon can be modeled similarly to disease proliferation, considering Empathy as its main factor. We propose a social simulation model for emotional contagion, considering that the probability of one adopting others’ emotions can derive from the empathy level of the individual, which is obtained through the Empathy Quotient score. The population sample of virtual agents is randomly generated following a normal distribution, which can be formed either by individuals without empathy limitations, or by Asperger Syndrome or High-Functioning Autism patients. The results from our experiments showed that the analogy between Emotional Contagion and disease proliferation fits in our empirical predictions suggesting that Empathy can be correlated to metrics such as the disease spread contact rate. It contributes to further studies as a foundation for exploring crowd control mechanisms on conflict scenarios and evaluating human interactions, which are critical factors to yield Social Sustainability in communities.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116994385","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}
{"title":"An Integrated Situational Awareness Platform for Disaster Planning and Emergency Response","authors":"M. Jiang","doi":"10.1109/ISC251055.2020.9239037","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239037","url":null,"abstract":"Smart city applications and systems deal with numerous dynamic, spatial, and temporal factors. The complexities of such systems make it difficult, if not impossible, to model their structures, behaviors, and interactions with their external environment. Our objective was to provide a comprehensible visualization which simplifies the complex facets of city management and operations. To achieve this goal, we developed an integrated situational awareness platform for smart city planning, management, and applications for emergency response. Through the visualization of integrated geographic information systems and real-time data analysis, our platform provides insights into operational implications and offers information to support effective decision making. We piloted our platform in several cities and city districts under the funding support of Guangdong Science and Technology Foundation. Applications of the platform include citywide police emergency planning and response, natural disaster handling, and traffic control and optimization. Sensors of various kinds were employed for data collection and the collected data were processed to provide real-time geospatial and temporal analysis and visualization. Results from these pilot projects showed that the integrated situational awareness analysis and visualization can help facilitate the understanding of complex city management and operational optimization. Our integrated situational awareness platform provides an effective mechanism for building practical smart city applications.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134165979","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}
{"title":"Quality of Information for IoT-Frameworks","authors":"Thorben Iggena, Eushay bin Ilyas, R. Tönjes","doi":"10.1109/ISC251055.2020.9239043","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239043","url":null,"abstract":"This paper deals with the use of Quality of Information (QoI) in the context of frameworks for data integration in the Internet of Things (IoT). It analyses existing approaches available to generate measures for information quality and proposes a concept to integrate real-time QoI calculation into an IoT framework. The approach shows several advantages when it comes to fault-detection, or the ranking of data streams when searching for IoT devices. However, the use of QoI often suffers from missing or incomplete metadata. This is addressed by a knowledge-based approach.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123033229","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}
Miguel Euclides Aybar Mejía, D. Mariano-Hernández, René Báez Santana, Eduardo de León Concepción, Alejandro Arias Martijena, Alexis Castillo Ruiz, D. L. Mendoza, Edwin Cadet Fabal Suero
{"title":"Design of an Interconnected Microgrid for the Electrification of San Pablo II Community: Case of Study Dominican Republic","authors":"Miguel Euclides Aybar Mejía, D. Mariano-Hernández, René Báez Santana, Eduardo de León Concepción, Alejandro Arias Martijena, Alexis Castillo Ruiz, D. L. Mendoza, Edwin Cadet Fabal Suero","doi":"10.1109/ISC251055.2020.9239093","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239093","url":null,"abstract":"Universal access to electrical energy, specifically non-polluting energy, is one of the United Nations Organization Sustainable Development Goals, due to its impact on human and economic development. Even with the significant advances in the electricity sector in the Dominican Republic, there are sectors of the population without access to electricity, as is the case of the San Pablo 2 community in the municipality of La Victoria in Santo Domingo Norte. This article proposes using an interconnected microgrid, with photovoltaic (PV) solar generation and a storage system with lithium-ion batteries for the electrification of San Pablo 2 and the determination of the technical-economic feasibility of the proposed microgrid design using the HOMER and DIgSILENT. The results show the microgrid’s optimal configuration, considering the net present cost, leveled cost of energy, and energy availability. Similarly, the distribution of the components and loads to obtain a voltage behavior and a technically acceptable margin of losses.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121395100","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}
A. Santos, A. Corsi, Igor C. Teixeira, V. L. Gava, Filipe A. M. Falcetta, E. Macedo, C. D. S. Azevedo, Karlson T. B. de Lima, K. Braghetto
{"title":"Brazilian natural disasters integrated into cyber-physical systems: computational challenges for landslides and floods in urban ecosystems","authors":"A. Santos, A. Corsi, Igor C. Teixeira, V. L. Gava, Filipe A. M. Falcetta, E. Macedo, C. D. S. Azevedo, Karlson T. B. de Lima, K. Braghetto","doi":"10.1109/ISC251055.2020.9239011","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239011","url":null,"abstract":"Natural disasters cause a high impact in society, resulting in human and economic losses, so much so that increasing the efficiency in monitoring these phenomena becomes a necessity. The integration of cyber-physical systems and their IoT devices, connectivity, machine learning, and Big Data can help to achieve this efficiency. This paper presents key points of the phenomenology of these processes, with challenges and opportunities for applied computing in urban environmental studies in Brazil, as well as investigates studies and techniques that have been used to monitor landslides and floods.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129370081","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}
Iara Negreiros, A. C. Francisco, F. Fengler, Gustavo Faria, Luciana Gomes Pereira Pinto, Maurício Tolotto, R. B. Rogoschewski, Regiane Relva Romano, R. S. Netto
{"title":"Smart Campus® as a living lab on sustainability indicators monitoring","authors":"Iara Negreiros, A. C. Francisco, F. Fengler, Gustavo Faria, Luciana Gomes Pereira Pinto, Maurício Tolotto, R. B. Rogoschewski, Regiane Relva Romano, R. S. Netto","doi":"10.1109/ISC251055.2020.9239017","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239017","url":null,"abstract":"As a mini city with a range of activities, a university campus can be used as a simulation and living lab. Smartness is a quality of contributing to sustainable development and resilience, and results achieved in a smart campus can be extrapolated to real and larger city as well. Indicators and targets not only represent important tools for smart cities planning but also for civil society participation and engagement. This paper reports the experience of incorporating data science and IoT in university activities, through a continuous and smart monitoring system. The results related to energy efficiency are presented, in order to share the positive and negative aspects of indicators measurement and control, improving decision making addressed to university campus sustainability and smartness.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116264815","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}