2020 IEEE International Smart Cities Conference (ISC2)最新文献_第2页

Making Smart Transportation Work in Smart Cities 让智能交通在智慧城市中发挥作用

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239088

V. Rabl, D. Novosel, T. Pierpoint

引用次数: 0

Operational interdependency between electrical substations and road networks under extreme events 极端事件下变电站和道路网络之间的相互依赖关系

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239097

HM Abdul Aziz, Deya Banisakher

{"title":"Operational interdependency between electrical substations and road networks under extreme events","authors":"HM Abdul Aziz, Deya Banisakher","doi":"10.1109/ISC251055.2020.9239097","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239097","url":null,"abstract":"The critical infrastructure (CI) elements in the United States are highly interconnected and interdependent. Recent cases of extreme events–either nature or human-caused– have demonstrated ripple effects propagating from one critical infrastructure to another reflecting the interdependencies. Among many CIs, the electric power and transportation infrastructure systems exhibit a higher level of interdependencies, and it is vital to model electric power and transportation infrastructure system holistically to understand the vulnerable states from temporal and spatial dimensions considering interconnectedness and cascading effects. This study developed a graph-theory based analysis framework to model the interdependencies between the electric power and transportation infrastructure systems– road networks. The CI elements are integrated by building a heterogeneous graph that includes transportation road sections, electrical substations, utility headquarters, traffic signal nodes, and other relevant CI nodes. We report the results from a case study in Seattle, Washington considering different scenarios– network disruption types, traffic congestion level, and uncertainty in restoration time.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"389 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":"116489310","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

Enhancing Trust-based Data Analytics for Forecasting Social Harm 加强基于信任的数据分析，预测社会危害

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239015

N. Chowdhury, R. Raje, Saurabh Pandey, G. Mohler, J. Carter

{"title":"Enhancing Trust-based Data Analytics for Forecasting Social Harm","authors":"N. Chowdhury, R. Raje, Saurabh Pandey, G. Mohler, J. Carter","doi":"10.1109/ISC251055.2020.9239015","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239015","url":null,"abstract":"First responders deal with a variety of “social harm” events (e.g. crime, traffic crashes, medical emergencies) that result in physical, emotional, and/or financial hardships. Through data analytics, resources can be efficiently allocated to increase the impact of interventions aimed at reducing social harm -T-CDASH (Trusted Community Data Analytics for Social Harm) is an ongoing joint effort between the Indiana University Purdue University Indianapolis (IUPUI), the Indianapolis Metropolitan Police Department (IMPD), and the Indianapolis Emergency Medical Services (IEMS) with this goal of using data analytics to efficiently allocate resources to respond to and reduce social harm. In this paper, we make several enhancements to our previously introduced trust estimation framework T-CDASH. These enhancements include additional metrics for measuring the effectiveness of forecasts, evaluation on new datasets, and an incorporation of collaborative trust models. To empirically validate our current work, we ran simulations on newly collected 2019 and 2020 (Jan-April) social harm data from the Indianapolis metro area. We describe the behavior and significance of the collaboration and their comparison with previously introduced stand-alone models.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"6 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":"127188451","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

Non-Supervised Trajectory Segmentation and Cross Analysis of Riders’ Dynamic Behavior in a Simulated Riding Platform 仿真骑行平台中骑手动态行为的非监督轨迹分割与交叉分析

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239087

Milad Leyli-Abadi, Abderrahmane Boubezoul, S. Espié

{"title":"Non-Supervised Trajectory Segmentation and Cross Analysis of Riders’ Dynamic Behavior in a Simulated Riding Platform","authors":"Milad Leyli-Abadi, Abderrahmane Boubezoul, S. Espié","doi":"10.1109/ISC251055.2020.9239087","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239087","url":null,"abstract":"In the context of the European project SimuSafe, various studies using the Honda Riding Trainer (HRT) simulator have been carried out. The resulting simulations from these studies are designed on the basis of a set of predefined scenarios and aim to analyze the motorcyclists’ behavior when interacting with the infrastructure. Furthermore, the analysis of the risk incurred by the riders’ maneuvers is of utmost importance to ensure their safety in realistic situations. However, the nature of road patterns (left or right turns, roundabouts and straight lines) is unknown in advance and should be deduced from the rider’s behavior or by extracting some infrastructure-based features from GPS track. This paper concentrates on the segmentation of trajectories and identification of different road patterns using sensory data and extracted features with the aim to facilitate the analysis of potential risks related to each pattern. To conduct this analysis, three non-supervised machine learning techniques are evaluated and their performances are compared. Finally, an exploratory cross analysis between the identified situations and rider’s dynamic behaviors allows for a more in-depth understanding of riders’ decisions.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"122 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":"132015709","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

iMirror: A Smart Mirror for Stress Detection in the IoMT Framework for Advancements in Smart Cities Mirror:智能城市IoMT框架中用于应力检测的智能镜子

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239081

Laavanya Rachakonda, Pritivi Rajkumar, S. Mohanty, E. Kougianos

引用次数: 4

A Design Method for Information Network of Ubiquitous Power Internet of Things Based on Complex-network 基于复杂网络的泛在电力物联网信息网络设计方法

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239060

Zhuolei Yao, Wentao Huang, L. Luan, Yiping Cui, N. Tai, Canbing Li

{"title":"A Design Method for Information Network of Ubiquitous Power Internet of Things Based on Complex-network","authors":"Zhuolei Yao, Wentao Huang, L. Luan, Yiping Cui, N. Tai, Canbing Li","doi":"10.1109/ISC251055.2020.9239060","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239060","url":null,"abstract":"Ubiquitous power internet of things provides smart grids with more advanced abilities such as comprehensive state awareness, efficient information processing, and convenient and flexible applications. It is an important pattern to realize intelligence of power grids. Therefore, the design method for information network of ubiquitous power internet of things needs to be improved to meet the requirements of the desirable services. This paper realizes node importance evaluation through complex network evaluation indexes, including node degree, betweenness coefficient, efficiency loss coefficient, and agglomeration lifting coefficient. Combining these indexes, a composite index is obtained to select vital nodes in a given power grid. This paper proposes a design method for information network of ubiquitous power internet of things through traversal algorithm and network evaluation index optimization. The information network will be only constructed on the vital nodes in order to increase economy and keep effect. Through the comparison of different cases, the information network designed by proposed method is verified to be efficient and economical in the case of data collecting and transmitting.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"6 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":"132928995","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

Automated Smart Garbage Monitoring System with Optimal Route Generation for Collection 具有最优收集路径生成的自动智能垃圾监控系统

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239002

Aarati Medehal, Aniruddha Annaluru, Shalini Bandyopadhyay, T. Chandar

{"title":"Automated Smart Garbage Monitoring System with Optimal Route Generation for Collection","authors":"Aarati Medehal, Aniruddha Annaluru, Shalini Bandyopadhyay, T. Chandar","doi":"10.1109/ISC251055.2020.9239002","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239002","url":null,"abstract":"One of the major concerns of the environment that strongly impacts the health and well-being of society is the detection, monitoring, and management of solid wastes. Slowly the world is stepping towards smart systems enabling complete automation of societies. The concept of smart cities, which is heavily based on Internet of Things (IoT) systems makes human lives more comfortable and secure in every aspect. As a result, smart waste management systems form an essential part of the establishment of smart cities. The conventional method of manually monitoring the wastes in waste bins is a tedious process and uses a lot of human effort, time, and cost which can easily be avoided with the current innovations. The garbage collection process is also highly redundant, inefficient, and can be vastly improved using Machine Learning (ML) algorithms. The purpose of this paper is to use the powerful tools of IoT to completely automate the process of garbage monitoring using ultrasonic sensors and NodeMCU and provide an optimal route for garbage collection using the cluster first-route second ML algorithm.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"19 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114052656","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: 9

The IEEE P2784 Standardization Process Workshop: the use of Delphi method and interactive evaluation tools to identify perceptions about Smart Cities IEEE P2784标准化过程研讨会:使用德尔菲法和交互式评估工具来识别对智慧城市的看法

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239067

Larissa Paredes Muse, J. Frazer, Eduard Fidler

引用次数: 2

ISC2 2020 Index

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/isc251055.2020.9239056

引用次数: 0

Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications 基于磁力计的智能停车车辆检测系统的实现

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239005

Alessandro Floris, Roberto Girau, Simone Porcu, G. Pettorru, L. Atzori

{"title":"Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications","authors":"Alessandro Floris, Roberto Girau, Simone Porcu, G. Pettorru, L. Atzori","doi":"10.1109/ISC251055.2020.9239005","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239005","url":null,"abstract":"The time lost looking for a free parking spot in a city impacts negatively not only on the mood of the drivers but also on the environment in terms of air quality and fuel consumption. The vehicle detection can be considered as the most important task in Smart Parking systems as it allows to automatically monitor the occupancy state of the parking spots in a city. In this paper, we implement and test a vehicle detection system based on a magnetometer sensor, which is part of a complete Smart Parking system under development at the University of Cagliari. After a preliminary analysis conducted to test the performance of the magnetometer, we conducted two specific experiments to investigate the suitability of the magnetometer as the mean to detect the presence of a vehicle in the parking spots. The first experiment, involving 15 different vehicles, has demonstrated that the magnetometer can be used to reliably detect the presence of a vehicle in a parking spot if it is placed under the front or rear axle of the vehicle. From the second experiment it resulted that, when considering 3 adjacent parking spots and only one magnetometer placed in the central spot, it is not possible to reliably detect the vehicles parked on the adjacent spots. Therefore, one magnetometer for each considered parking spot is needed.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"67 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":"114168277","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: 3