Journal of Location Based Services最新文献_第6页

Deep learning methods for fingerprint-based indoor positioning: a review 基于指纹的室内定位深度学习方法综述

IF 2.3

Journal of Location Based Services Pub Date : 2020-07-02 DOI: 10.1080/17489725.2020.1817582

Fahad Al-homayani, M. Mahoor

{"title":"Deep learning methods for fingerprint-based indoor positioning: a review","authors":"Fahad Al-homayani, M. Mahoor","doi":"10.1080/17489725.2020.1817582","DOIUrl":"https://doi.org/10.1080/17489725.2020.1817582","url":null,"abstract":"ABSTRACT Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable method and solution for indoor positioning due to its simple concept and accurate performance. In the past, shallow learning algorithms were traditionally used in location fingerprinting. Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning algorithms. This paper provides a comprehensive review of deep learning methods in indoor positioning. First, the advantages and disadvantages of various fingerprint types for indoor positioning are discussed. The solutions proposed in the literature are then analyzed, categorized, and compared against various performance evaluation metrics. Since data is key in fingerprinting, a detailed review of publicly available indoor positioning datasets is presented. While incorporating deep learning into fingerprinting has resulted in significant improvements, doing so, has also introduced new challenges. These challenges along with the common implementation pitfalls are discussed. Finally, the paper is concluded with some remarks as well as future research trends.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"14 1","pages":"129 - 200"},"PeriodicalIF":2.3,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1817582","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48688129","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: 41

GeoVisual analytics for understanding the distribution of speeding patterns on arterial roads: assessing the traffic safety of vulnerable road users 了解主干道上超速模式分布的GeoVisual分析：评估弱势道路使用者的交通安全

IF 2.3

Journal of Location Based Services Pub Date : 2020-07-02 DOI: 10.1080/17489725.2020.1823497

I. Kveladze, N. Agerholm

{"title":"GeoVisual analytics for understanding the distribution of speeding patterns on arterial roads: assessing the traffic safety of vulnerable road users","authors":"I. Kveladze, N. Agerholm","doi":"10.1080/17489725.2020.1823497","DOIUrl":"https://doi.org/10.1080/17489725.2020.1823497","url":null,"abstract":"ABSTRACT Arterial roads have operational significance and play a substantial role in the mobility of modern society. They make up the majority of road network in urban and rural areas and allow high-speed movement despite traffic-controlling elements. In densely populated areas where the presence of Vulnerable Road Users (VRUs) is high, high-speed movement is problematic, and speed calming measures are needed to improve traffic safety, since many VRUs do crossroads, regardless of the road network regulations. These aspects have been researched in the traffic domain in a small scale, and not much has been investigated from a visualisation perspective. To provide comprehensive insights on the movement characteristics of arterial roads, we propose a GeoVisual Analytics (GVA) approach. GVA techniques are suitable solutions to display and extract knowledge from large amounts of Floating Car Data (FCD) collected through on-board devices of vehicles. By cross-sector collaboration between cartographic and traffic experts, five arterial road segments in Aalborg City were selected to answer where and when in particular VRUs do cross streets by ignoring traffic rules. Based on clusters of large unexplainable deviations from driving speed in FCD, the results uncovered meaningful patterns from complex traffic movements. They also allowed for the provision of some recommendations that are critical for traffic safety in urban areas.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"14 1","pages":"201 - 230"},"PeriodicalIF":2.3,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1823497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46268714","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: 2

Epidemic contact tracing with smartphone sensors 使用智能手机传感器追踪流行病接触者

IF 2.3

Journal of Location Based Services Pub Date : 2020-04-02 DOI: 10.1080/17489725.2020.1805521

K. Nguyen, Zhiyuan Luo, C. Watkins

引用次数: 21

Smile, you’re being traced! Some thoughts about the ethical issues of digital contact tracing applications 笑一笑，你被跟踪了!关于数字接触追踪应用的伦理问题的一些思考

IF 2.3

Journal of Location Based Services Pub Date : 2020-04-02 DOI: 10.1080/17489725.2020.1811409

Stéphane Roche

引用次数: 8

Role of location-based mobile apps in city marketing: Beşiktaş as a student-friendly district 基于位置的移动应用程序在城市营销中的作用:be<e:1> iktaka作为一个学生友好的地区

IF 2.3

Journal of Location Based Services Pub Date : 2020-04-02 DOI: 10.1080/17489725.2020.1788184

S. Akdag, Ahu Ergen

{"title":"Role of location-based mobile apps in city marketing: Beşiktaş as a student-friendly district","authors":"S. Akdag, Ahu Ergen","doi":"10.1080/17489725.2020.1788184","DOIUrl":"https://doi.org/10.1080/17489725.2020.1788184","url":null,"abstract":"ABSTRACT In the age of globalisation and high competition among destinations, cities are empowered with new marketing tools to attract new residents and visitors while keeping their existing communities satisfied. Therefore, the main objective of the paper is to understand the role of location-based mobile applications among university students, who as members of the wired generation tend to use technology more than older generations. The secondary objective is to explore the most preferred location-based apps with their benefits and how they are used by the students to link themselves to the city and its services. Two focus groups are conducted with university students in Besiktas, which is claimed to be one of the most student-friendly environments in Istanbul. The findings reveal students’ preferences and reasoning for the use of location-based mobile apps. Apart from their satisfaction with the diversity of shopping, wayfinding, and geosocial networking apps, their concerns for digital privacy and personal data protection have become apparent. Further research is recommended for understanding the satisfaction and expectations of different user segments in the city since their evaluations might contribute to further develop and improve location-based services, and promote the city in the local and global markets.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"14 1","pages":"49 - 70"},"PeriodicalIF":2.3,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1788184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43244342","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

Optimal route planning for stochastic time-dependent hitchhiker’s problem 随机时变搭便车问题的最优路线规划

IF 2.3

Journal of Location Based Services Pub Date : 2020-01-02 DOI: 10.1080/17489725.2019.1682202

O. Vedernikov, L. Kulik, K. Ramamohanarao

引用次数: 2

Principles of dashboard adaptability to get insights into origin-destination data 仪表板适应性原则，以深入了解始发目的地数据

IF 2.3

Journal of Location Based Services Pub Date : 2020-01-02 DOI: 10.1080/17489725.2020.1738577

I. Dobraja, M. J. Kraak

{"title":"Principles of dashboard adaptability to get insights into origin-destination data","authors":"I. Dobraja, M. J. Kraak","doi":"10.1080/17489725.2020.1738577","DOIUrl":"https://doi.org/10.1080/17489725.2020.1738577","url":null,"abstract":"ABSTRACT Nowadays large amounts of movement data is available. This makes it important not only to be aware of how to collect and store this data, but also how to visually represent the information to get insights and “read” the story behind data. When visualising origin-destination data, the traditional flow map is the solution most often selected. A single flow map, however, does not necessarily show all the available attribute variables and also tends too clutter quickly.A more appropriate solution is a dashboard. It provides users with summaries of the represented information. Despite the dashboard suitability to support getting insights, current dashboards have some limitations regarding the flexibility of the layout. To overcome these limitations, we introduce adaptability in dashboards. In our case adaptability ensures that users get insights into the component of interest (space, time, or attribute) on 3 levels of detail. Adaptability is initiated by user tasks to resulting in changes in the visualizations of represented information and dashboard interfaces. We illustrate the concept of an adaptable dashboard with two case studies.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"14 1","pages":"28 - 48"},"PeriodicalIF":2.3,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2020.1738577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46199631","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

Activity event recommendation and attendance prediction 活动活动推荐及上座率预测

IF 2.3

Journal of Location Based Services Pub Date : 2019-09-16 DOI: 10.1080/17489725.2019.1660423

R. Mariescu-Istodor, A. S. Sayem, P. Fränti

引用次数: 3

What is happening in the city? A case study for user-centred geovisualisation design 这个城市发生了什么?以用户为中心的地理可视化设计案例研究

IF 2.3

Journal of Location Based Services Pub Date : 2019-07-01 DOI: 10.1080/17489725.2019.1630680

Damla Çay, T. Nagel, A. Yantaç

{"title":"What is happening in the city? A case study for user-centred geovisualisation design","authors":"Damla Çay, T. Nagel, A. Yantaç","doi":"10.1080/17489725.2019.1630680","DOIUrl":"https://doi.org/10.1080/17489725.2019.1630680","url":null,"abstract":"ABSTRACT For citizens, being aware of what is happening in their urban surroundings becomes challenging as more information from diverse sources becomes available. In this paper, we describe our user-centered approach of designing an interactive tool making use of urban data visualisations to facilitate people’s decisions about social and cultural events. After gathering the needs of urban actors through formative user studies, we identified beneficial data types and collected a variety of data sets from publicly accessible online sources. For the aim of enabling casual exploration of events in the city, we designed a set of geovisualisation prototypes and designed a variety of evaluative user studies based on established geovisualisation techniques. The main aim here is to enable casual exploration of events in the city more than the intended search for specific events. We developed two prototypes that make use of two different geovisualisations to represent events: Prototype A uses common location markers, and prototype B uses a novel glyph design to visualize more types of data at a glance. We share the lessons learned from the results of our study, which will inform the design of geographical data visualisations for citizens.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"270 - 292"},"PeriodicalIF":2.3,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1630680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47127434","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

Crowdsourced hotspot validation and data visualisation for location-based haze mitigation 基于位置的雾霾缓解的众包热点验证和数据可视化

IF 2.3

Journal of Location Based Services Pub Date : 2019-06-21 DOI: 10.1080/17489725.2019.1619851

T. Aditya, Dany Laksono, Nur Izzahuddin

{"title":"Crowdsourced hotspot validation and data visualisation for location-based haze mitigation","authors":"T. Aditya, Dany Laksono, Nur Izzahuddin","doi":"10.1080/17489725.2019.1619851","DOIUrl":"https://doi.org/10.1080/17489725.2019.1619851","url":null,"abstract":"ABSTRACT Haze over Sumatera and Kalimantan has been a prolonged trans-boundary issue in South East Asia mainly due to setting fire to drained peatland. At present, fire sources (i.e. hotspots) are located based on satellite data. Sensors such as MODIS and AVHRR detect extremes in average temperatures of an area. The hotspots have low spatial resolution and large spatial footprints, thus making it harder to detect fires. This research proposed a ground-based spatial validation of satellite data based on crowdsourcing in order to obtain more accurate estimates of the location and severity of the fire. We developed an Android application for reporting and validating fires in peatlands. Crowd data collected were integrated with satellite hotspot data by the dashboard system as a monitoring platform for government agencies. The 110,888 hectares of Padang Island, in Riau Province, were chosen as the study area given its vulnerability to peatland fire and imminent danger of subsidence as the collateral effect of draining peatlands. Residents of Padang Island tested the use-case scenario of the app to assess its applicability. The study showed the potential use of mobile apps for local communities to help the government validate hotspots for haze mitigation.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"239 - 269"},"PeriodicalIF":2.3,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1619851","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48797243","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