2018 IEEE International Smart Cities Conference (ISC2)最新文献_第10页

Optimal User Association in Hybrid WLANs under Bandwidth Constraints 带宽约束下混合wlan的最优用户关联

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656721

Xili Wan, Xinjie Guan, Yan Shen, Baek-Young Choi

{"title":"Optimal User Association in Hybrid WLANs under Bandwidth Constraints","authors":"Xili Wan, Xinjie Guan, Yan Shen, Baek-Young Choi","doi":"10.1109/ISC2.2018.8656721","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656721","url":null,"abstract":"The 802.11 protocol based Wireless LANs (WLANs) has become a conventional way to Internet access for mobile devices. In default, each user device accesses a WLAN by associating an access point (AP) with the strongest Signal strength among all available APs. For each network application on user devices, the minimum bandwidth which the application needs for providing regular service is demanded. The default signal strength based user association cannot satisfy this new bandwidth demand from network applications. Although extensive research work is done on user association techniques, most of them focus on load balancing and fairness issues without considering the bandwidth demands of user devices. In this paper, we consider a joint user association problem for a WLAN under hybrid network architecture, while satisfying the bandwidth demand of user devices. Different from previous work, graph theory based methods are utilized to solve this optimization problem for both unit bandwidth demand and general bandwidth demand cases. With the proposed graph transformation techniques, the optimization problem with two cases is transformed to maximum network flow and maximum weighted matching problems, respectively. Theoretic proofs for the optimality of our algorithms are presented and simulation results further validate the superiority of our algorithms.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114385300","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: 5

A Unique Approach to Demand Side Management of Electric Vehicle Charging for Developing Countries 发展中国家电动汽车充电需求侧管理的独特方法

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656962

S. Bahadoorsingh, Chris Meetoo, C. Sharma, Patrick Hosein

引用次数: 3

A Machine Learning Approach to Short-Term Traffic Flow Prediction: A Case Study of Interstate 64 in Missouri 短期交通流量预测的机器学习方法:以密苏里州64号州际公路为例

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656924

Osama Mohammed, J. Kianfar

{"title":"A Machine Learning Approach to Short-Term Traffic Flow Prediction: A Case Study of Interstate 64 in Missouri","authors":"Osama Mohammed, J. Kianfar","doi":"10.1109/ISC2.2018.8656924","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656924","url":null,"abstract":"Proactive traffic management is a subset of smart mobility applications in which traffic control strategies are implemented in advance to respond to anticipated roadway conditions. Predicted traffic flows are a key input to proactive traffic control systems, such as proactive freeway ramp metering, proactive variable speed limits, and proactive incident management systems. This paper proposes a machine learning approach for short-term traffic flow prediction where prevailing conditions, such as the traffic volume, speed, and occupancy of roadway segments, are used to predict traffic flow in short-term intervals. Four categories of predictive methods for traffic flow prediction were investigated: deep neural networks, a distributed random forest, a gradient boosting machine, and a generalized linear model. Data from Interstate 64 in St. Louis, Missouri, in the United States were used to calibrate and evaluate the models. The results obtained by the four predictive methods were very similar, with the distributed random forest model slightly outperforming the models obtained by the other three methods. The case study showed that the inclusion of traffic flow, speed, occupancy, and time of day in the traffic prediction process reduces the traffic prediction error. However, the two-sample Kolmogorov-Smirnov test did not show a statistically significant benefit from the inclusion of upstream traffic data in the distributed random forest, and gradient boosting machine models.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998747","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: 27

Vizsafe: The Decentralized Crowdsourcing Safety Network Vizsafe:分散的众包安全网络

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656658

Peter A. Mottur, Nathan R. Whittaker

{"title":"Vizsafe: The Decentralized Crowdsourcing Safety Network","authors":"Peter A. Mottur, Nathan R. Whittaker","doi":"10.1109/ISC2.2018.8656658","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656658","url":null,"abstract":"Although there is no single definition, a Smart City is a settlement that uses various technologies to optimize the delivery of services to citizens and increase residents’ quality of life. While a vast array of sensors and IoT devices will be deployed to meet the data requirements of a smart approach to public service delivery, any city’s largest and most sophisticated sensor network takes the form of its citizens. As the ones who use the city’s infrastructure and services 24/7, they are uniquely placed to report any issues. What stops most people from doing so is firstly the lack of a platform with the appropriate channels and secondly, the lack of immediate incentives — most of the time, an issue will be seen as someone else’s job to address.To address these issues, the Vizsafe platform has been designed to mobilize the crowd and give them a reason to submit information that is in everyone’s interests. Through the power of blockchain, these reports are stored on a decentralized ledger, and, utilizing smart contracts, SPOT tokens are used as incentive to people that upload incident reports, whether that is a potential security threat or faulty infrastructure. It’s the slight nudge that makes ‘someone else’s problem’ into ‘my opportunity’. Once cities start rewarding participation meaningfully, people cease to be consumers and service users but rather contribute information for their collective benefit, while reducing costs for businesses and service providers. They become active partners in maintaining the communities in which they live and work.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949115","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: 5

Competitive Swarm Optimization with Dynamic Opposition-based Learning 基于动态对立学习的竞争群优化

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656787

Yangfan Zhang, Jun Sun

引用次数: 1

Smart Mobility for Seniors: Challenges and Solutions in El Paso, TX, and New York, NY 老年人的智能出行:德克萨斯州埃尔帕索和纽约州纽约的挑战和解决方案

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656975

Matthew Vechione, Corina Marrufo, Raul Alejandro Vargas-Acosta, Maria Guadalupe Jimenez Velasco, Okan Gurbuz, A. Dmitriyeva, R. Cheu, N. Villanueva-Rosales, G. Nunez-Mchiri, Joseph Y. J. Chow

{"title":"Smart Mobility for Seniors: Challenges and Solutions in El Paso, TX, and New York, NY","authors":"Matthew Vechione, Corina Marrufo, Raul Alejandro Vargas-Acosta, Maria Guadalupe Jimenez Velasco, Okan Gurbuz, A. Dmitriyeva, R. Cheu, N. Villanueva-Rosales, G. Nunez-Mchiri, Joseph Y. J. Chow","doi":"10.1109/ISC2.2018.8656975","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656975","url":null,"abstract":"Many older adults or seniors face mobility issues as they age, for example, switching from driving to using carpool, taxi, or staying on fixed routes. Seniors require responsive transportation services to attend activities. Unfortunately, there are limited tools to assist seniors to find the most appropriate transportation options given their mobility needs (e.g., inability to walk long distances, use of a cane). Mobile devices (e.g. smartphones, tablets, etc.) have demonstrated to be a useful tool to provide real-time information that has the potential to assist seniors with mobility challenges. This paper focuses on investigating senior citizens’ mobility needs in El Paso, Texas and New York City, New York in order to define the requirements and recommendations for an ad-hoc solution on smart mobility for seniors, using state-of-the-art mobile technologies. In order to identify the main concerns and requirements to assist in mobility of seniors, a survey was conducted at various senior recreation centers across El Paso and New York City with a total of 458 and 61 responses, respectively. Survey results indicate that: (i) the most required assistance for seniors is the avoidance of traffic congestion; (ii) the majority of seniors who own mobile devices are not using the available applications or functions to meet their mobility needs; and (iii) seniors indicated that they prefer mobile applications that are easy and intuitive to use. These findings provide additional insights to those from previous surveys. We provide recommendations for researchers and developers interested in creating solutions for mobility of seniors based on these findings and the interactions with seniors when the survey was performed.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619350","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: 6

Using Geographic Information and Point of Interest to Estimate Missing Second-Hand Housing Price of Residential Area in Urban Space 利用地理信息和兴趣点估算城市空间中居住区缺失二手房价格

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656965

Jiabo Tang, Zhicheng Liu, Yuran Wang, Junyan Yang, Qiao Wang

{"title":"Using Geographic Information and Point of Interest to Estimate Missing Second-Hand Housing Price of Residential Area in Urban Space","authors":"Jiabo Tang, Zhicheng Liu, Yuran Wang, Junyan Yang, Qiao Wang","doi":"10.1109/ISC2.2018.8656965","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656965","url":null,"abstract":"The real estate market including second-hand real estate market plays an important role in Chinese economy. However, it is not easy to acquire price of the each pieces of residential area in a city, and for instance the data acquired from Internet in our paper can only cover 56% of residential area in Nanjing. To this end, our paper proposed an model to fill the missing price data by using price and locations of second-hand real estates and Point of Interest (POI) information which were acquired from Internet. Our experiment was conducted in Nanjing and Chongqing, and demonstrates that our model is able to perform better than traditional Geographic Information System (GIS) method, such as Kriging interpolation, and general machine learning model, such as K-Nearest Neighbour (KNN). Also, our proposed model can be more interpretable than traditional methods, and able to reveal how the POI information can influence the second-hand real estate price. Our proposed model can help domain experts, e.g. city planners and economists, to better research the second-hand real estate market in the future.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570238","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

Modeling ‘Thriving Communities’ using a Systems Architecture to Improve Smart Cities Technology Approaches 使用系统架构为“繁荣社区”建模以改进智慧城市技术方法

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656893

Katherine Axel, Inas S. Khayal

引用次数: 2

Traffic Event Related Blog Post Classification by Using Traffic Related Named Entities 使用与流量相关的命名实体对与流量事件相关的博客文章进行分类

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656940

A. Dundar Unsal, Hediye Tuydes-Yaman, Pinar Karagoz

{"title":"Traffic Event Related Blog Post Classification by Using Traffic Related Named Entities","authors":"A. Dundar Unsal, Hediye Tuydes-Yaman, Pinar Karagoz","doi":"10.1109/ISC2.2018.8656940","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656940","url":null,"abstract":"Real-time monitoring of traffic flow requires physical sensors to be deployed on road networks. Development of such systems might be impractical due to deployment costs of sensors on large scale networks. This study presents a method to extract traffic event related tweets from social streams in order to employ users of social media as human sensors of traffic conditions or events. The proposed method offers a cost effective way of monitoring events or conditions affecting traffic flow. The method consists of three steps. The first step involves natural language processing tasks for preprocessing the blog posts. The second step extracts a set of traffic event related named entities from blog post texts using the model that is constructed with Conditional Random Fields. The third step includes classification in order to detect blog posts reporting events or conditions affecting traffic flow. The proposed method is experimentally evaluated on a set of tweets collected in one month under varying feature sets. The results show the potential of the approach for traffic monitoring and reveals that the use of traffic related named entities increases the classification accuracy.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126758348","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 Contracts for Incentivizing Sensor Based Mobile Smart City Applications 激励基于传感器的移动智能城市应用的智能合约

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656959

J. Lindsay

引用次数: 9