2016 IEEE International Smart Cities Conference (ISC2)最新文献_第9页

Reservation-based multi-objective smart parking approach for smart cities 基于预约的智慧城市多目标智慧停车方法

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580840

Naourez Mejri, M. Ayari, R. Langar, L. Saïdane

{"title":"Reservation-based multi-objective smart parking approach for smart cities","authors":"Naourez Mejri, M. Ayari, R. Langar, L. Saïdane","doi":"10.1109/ISC2.2016.7580840","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580840","url":null,"abstract":"It has been revealed that cruising for parking is one of the main sources of road congestion and pollution, as well as daily discomfort and stress experienced by drivers while on road to attend their everyday businesses. Therefore, there is a substantial need to design efficient car parking mechanisms that can be easily deployed into future intelligent transportation systems. In this paper, we tackle this important issue and we propose a new Reservation-based multi-Objective SmArt Parking approach denoted as ROSAP. Our approach uses a simulated annealing based meta-heuristic to optimize the parking slot assignment problem formulated as a multi-objective Integer Linear Program (ILP). ROSAP helps drivers to find the most suitable parking slot within their areas of interest and with respect to their specified constraints. In order to gauge the effectiveness of our proposal, we conducted extensive simulation experiments considering a real-like environment. Results show significant gains in both request satisfaction ratio and parking occupancy while keeping a minimal walking distance between the parking and the user's destination, in comparison with greedy approaches where each vehicle is assigned a free parking slot, which is closer to the destination.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127204013","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: 28

Next generation zero-power RFID-tag for UWB pervasive identification 用于超宽带普及识别的下一代零功耗rfid标签

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580855

D. Masotti, M. Fantuzzi, A. Costanzo

引用次数: 2

An algorithm for initial public transport network design over geospatial data 基于地理空间数据的初始公共交通网络设计算法

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580780

M. Shcherbakov, A. Golubev

引用次数: 3

Fast fault location for fast restoration of smart electrical distribution grids 快速故障定位，实现智能配电网快速恢复

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580741

A. Bahmanyar, A. Estebsari, E. Pons, E. Patti, S. Jamali, E. Bompard, A. Acquaviva

{"title":"Fast fault location for fast restoration of smart electrical distribution grids","authors":"A. Bahmanyar, A. Estebsari, E. Pons, E. Patti, S. Jamali, E. Bompard, A. Acquaviva","doi":"10.1109/ISC2.2016.7580741","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580741","url":null,"abstract":"Distribution systems are evolving towards fault self-healing systems which can quickly identify and isolate faulted components and restore supply to the affected customers with little human intervention. A self-healing mechanism can considerably reduce the outage times and improve the continuity of supply; however, such an improvement requires a fast fault location method and also a communication and measurement infrastructure. In this paper the feasibility of fast service restoration through a fast fault location method is studied. A fast fault location method is proposed which is applicable to any distribution network with laterals, load taps and heterogeneous lines. The performance of the proposed method is evaluated by simulation tests on a real 13.8 kV, 134-node distribution system under different fault conditions. The results verify the applicability of the proposed architecture. We show that the communication delay plays a less important role in overall restoration time, and we stress the contribution of a fast fault location method in keeping the overall interruption time less than 1 minute.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115722751","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: 12

Incentivization schemes for vehicle allocation in one-way vehicle sharing systems 单向车辆共享系统中车辆分配的激励方案

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580857

Alexandros Angelopoulos, D. Gavalas, C. Konstantopoulos, D. Kypriadis, G. Pantziou

引用次数: 21

Fixture identification from aggregated hot water consumption data 根据汇总的热水消耗数据确定固定装置

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580738

Yan Gao, Daqing Hou, Sean Banerjee

{"title":"Fixture identification from aggregated hot water consumption data","authors":"Yan Gao, Daqing Hou, Sean Banerjee","doi":"10.1109/ISC2.2016.7580738","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580738","url":null,"abstract":"Activity identification in smart housing utilizes smart meters to label consumption of utilities, such as cold and hot water, into human activities, such as cooking and cleaning. Typical approaches utilize a large array of high sampling rate sensors installed at each fixture location. This high density-high sampling rate approach raises computational challenges due to the volume of data generated over time. In this paper, we present a novel approach for identifying water usage patterns using a sparse array of sensors. Unlike traditional approaches which utilize data from individual fixtures, our approach identify fixtures by classifying the aggregated water usage from the kitchen sink, bathroom sink and shower. Furthermore, we model fixture and user characteristics to generate a set of higher level features that are used to identify individual fixtures. We evaluate our approach using a novel dataset of 12 apartments from the Clarkson University Smart Housing Project. Our results show that our approach reduces the number of fixture level smart meters from 7 to 3, while achieving an average accuracy between 70% to 80% for identifying hot water fixtures used in the kitchen sink, bathroom sink and shower.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134643771","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

A big data analytics system to analyze citizens' perception of security 大数据分析系统，分析市民对安全的感知

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580846

Jorge Camargo, Carlos A. Torres, Oscar H. Martinez, Francisco Gómez

引用次数: 13

Street lighting monitoring at cabinet level using open-source tools: A real scenario 在内阁级别使用开源工具进行街道照明监控:一个真实的场景

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580842

A. Ferro

引用次数: 1

Wireless sensor system for detection of occupants to increase building energy efficiency 无线传感器系统，用于探测居住者，提高建筑能源效率

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580796

Jonathan R. Tefft, N. Kirsch, Travis M. Adams, Tat S. Fu

{"title":"Wireless sensor system for detection of occupants to increase building energy efficiency","authors":"Jonathan R. Tefft, N. Kirsch, Travis M. Adams, Tat S. Fu","doi":"10.1109/ISC2.2016.7580796","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580796","url":null,"abstract":"Building climate control efficiency can be improved through accurate occupancy information. Schedules alone, particularly at a university with cancelled classes, may provide inaccurate occupancy information and climate control. This work proposes system of occupancy detection using wireless sensors to detect energy from cellular devices used universally by occupants. Cellular signals at the sensors are detected using Empirical Mode Decomposition (EMD), and the Received Signal Strength (RSS), time, channel and sensor information is sent to a fusion server. This server aggregates this information and applies a generalized version of Improved Prior Measurement Comparison (PMC+) to estimate occupant locations in the building. These locations are used directly to estimate occupancy. This occupancy information is sent to a Building Control system, which fuses the estimated occupancy information with schedule information to provide an occupancy estimate of improved accuracy. An improvement from 40% error with schedule alone to 15% error with fused information was observed, a significant improvement in occupancy accuracy.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133086015","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: 4

A big data approach for smart transportation management on bus network 公交网络智能交通管理的大数据方法

2016 IEEE International Smart Cities Conference (ISC2) Pub Date : 2016-09-01 DOI: 10.1109/ISC2.2016.7580839

Yun Wang, S. Ram, Faiz Currim, Ezequiel Dantas, Luiz Alberto Sabóia

引用次数: 26