Journal of Location Based Services最新文献_第8页

Trajectory recommendation for task accomplishment in crowdsourcing – a model to favour different actors 众包中任务完成的轨迹推荐——一个有利于不同参与者的模型

IF 2.3

Journal of Location Based Services Pub Date : 2016-04-01 DOI: 10.1080/17489725.2016.1184770

A. Fonteles, S. Bouveret, J. Gensel

{"title":"Trajectory recommendation for task accomplishment in crowdsourcing – a model to favour different actors","authors":"A. Fonteles, S. Bouveret, J. Gensel","doi":"10.1080/17489725.2016.1184770","DOIUrl":"https://doi.org/10.1080/17489725.2016.1184770","url":null,"abstract":"Crowdsourcing systems (CS) are platforms that enable users, called requesters, to publish tasks that others, called workers, are expected to accomplish. Usually, these are systems where workers perform tasks using desktop computers. Recently, some CS have appeared with location-based tasks that require a worker to be at a given location within a given time window to be accomplished. In this paper, we study the problem of matching these location-based tasks and mobile workers under a novel perspective where three actors (workers, requesters and the system itself) of the CS may benefit differently from a configuration of tasks and workers. We introduce the Trajectory Recommendation Problem (TRP) where a CS finds a trajectory (sequence of tasks) for a single mobile worker that maximises the satisfaction of one or more of the actors. We show that TRP is NP-complete and then propose an exact algorithm for solving it. Our experiments have proved that our algorithm is a feasible solution when up to a few hundred tasks must be analysed to find an optimal solution. Finally, we propose an architecture for the deployment of the recommendation in a CS.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"125 - 141"},"PeriodicalIF":2.3,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1184770","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60102910","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: 7

Safety-aware routing for motorised tourists based on open data and VGI 基于开放数据和VGI的机动游客安全意识路线

IF 2.3

Journal of Location Based Services Pub Date : 2016-01-02 DOI: 10.1080/17489725.2016.1170216

A. Keler, J. Mazimpaka

{"title":"Safety-aware routing for motorised tourists based on open data and VGI","authors":"A. Keler, J. Mazimpaka","doi":"10.1080/17489725.2016.1170216","DOIUrl":"https://doi.org/10.1080/17489725.2016.1170216","url":null,"abstract":"Abstract In this work, we present a routing approach avoiding relatively dangerous areas within a city. The information of how dangerous some urban areas are is derived using volunteered geographic information (VGI), governmental open data for detecting properties and functionalities of the urban infrastructure and historical crime data from police departments for detecting crime hot spots. Therefore, we present the basics of crime mapping and analysis with GIS, the practical use of VGI for routing and describe our contribution within the field of routing solutions. Afterwards, we explore our test data in detail. For the practical use, we simplify all the urban infrastructure information and propose a safety index, which represents the relative safety in the investigation area. Additionally, historical crime hot spots are detected and used as routing obstacles. The arcs in the road network are weighted by our safety index and the historical crime hot spots are introduced as obstacle polygons. We test our safety-aware routing design on Los Angeles (LA) and assume its use during night times. In this regard, from two relatively far away situated origin and destination points, we calculate the least dangerous path and compare it with the calculated shortest path. Vehicle drivers without knowledge about the dangerous areas in the city may use the least dangerous path, which is based on our calculated safety index. Finally, we discuss the effectiveness of our method and consider further extensions using freely available geodata.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"80 1","pages":"64 - 77"},"PeriodicalIF":2.3,"publicationDate":"2016-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1170216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103155","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: 30

A novel method for overcoming the impact of spatially varying ambient magnetic fields on a DC magnetic field-based tracking system 一种克服空间变化环境磁场对直流磁场跟踪系统影响的新方法

IF 2.3

Journal of Location Based Services Pub Date : 2016-01-02 DOI: 10.1080/17489725.2016.1170898

Abdelmoumen Norrdine, Zakaria Kasmi, J. Blankenbach

引用次数: 5

Collecting floating car data with smartphones: results from a field trial in Austria 用智能手机收集漂浮汽车数据:奥地利实地试验的结果

IF 2.3

Journal of Location Based Services Pub Date : 2016-01-02 DOI: 10.1080/17489725.2016.1169323

K. Rehrl, Richard Brunauer, Simon Gröchenig

{"title":"Collecting floating car data with smartphones: results from a field trial in Austria","authors":"K. Rehrl, Richard Brunauer, Simon Gröchenig","doi":"10.1080/17489725.2016.1169323","DOIUrl":"https://doi.org/10.1080/17489725.2016.1169323","url":null,"abstract":"Abstract This work reports on results from a field trial regarding the collection of floating car data with smartphones in Austria. The field trial has been conducted within Austria’s National Floating Car Data Testbed pursuing the goal to test different aspects of floating car data technology for traffic data collection, traffic state estimation and traffic prediction. The test bed collects, processes and analyses FCD from several thousand vehicles. The field trial for smartphone-based data collection has been conducted within the Federal State of Salzburg covering 1500 kilometres of major road network. Between the launch of the Android-based smartphone application in March 2014 and the end of the field trial in February 2015, the application has been downloaded by more than 2100 users. One year after launch the app is still installed on 650 devices and attracts around 15 users daily. The work gives insights into the application’s concepts and discusses app usage statistics, usage patterns and user feedback in the context of community-driven traffic data collection. On the one hand, results from the field trial confirm that community-driven traffic data collection is still not a phenomenon of the masses due to various challenges discussed throughout the work. On the other hand, results contribute to a deeper understanding of community-driven data collection in the traffic domain and help to learn for future trials.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"16 - 30"},"PeriodicalIF":2.3,"publicationDate":"2016-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1169323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60102840","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

Detection of UWB ranging measurement quality for collaborative indoor positioning 协同室内定位的超宽带测距测量质量检测

IF 2.3

Journal of Location Based Services Pub Date : 2015-10-01 DOI: 10.1080/17489725.2015.1120359

Hao Jing, Lukasz Bonenberg, J. Pinchin, C. Hill, T. Moore

{"title":"Detection of UWB ranging measurement quality for collaborative indoor positioning","authors":"Hao Jing, Lukasz Bonenberg, J. Pinchin, C. Hill, T. Moore","doi":"10.1080/17489725.2015.1120359","DOIUrl":"https://doi.org/10.1080/17489725.2015.1120359","url":null,"abstract":"Wireless communication signals have become popular alternatives for indoor positioning and navigation due to lack of navigation satellite signals in such environments. The signal characteristics determine the method used for positioning as well as the positioning accuracy. Ultra-wideband (UWB) signals, with a typical bandwidth of over 1 GHz, overcome multipath problems in complicated environments. Hence, potentially achieves centimetre-level ranging accuracy in open areas. However, signals can be disrupted when placed in environments with obstructions and cause large ranging errors. This paper proposes a ranging measurement quality indicator (RQI) which detects the UWB measurement quality based on the received signal strength pattern. With a detection validity of more than 83%, the RQI is then implemented in a ranging-based collaborative positioning system. The relative constraint of the collaborative network is adjusted adaptively according to the detected RQI. The proposed detection and positioning algorithm improves positioning accuracy by 80% compared to non-adaptive collaborative positioning.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"9 1","pages":"296 - 319"},"PeriodicalIF":2.3,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2015.1120359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103198","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

A location-based method for restricting the flooding DoS effect in WLANs 一种限制广域网中泛洪DoS效应的基于位置的方法

IF 2.3

Journal of Location Based Services Pub Date : 2015-10-01 DOI: 10.1080/17489725.2015.1119318

Rajeev Singh, T. P. Sharma

引用次数: 5

Word cloud visualisation of locative information 位置信息的词云可视化

IF 2.3

Journal of Location Based Services Pub Date : 2015-10-01 DOI: 10.1080/17489725.2015.1118566

B. Tessem, S. Bjørnestad, Weiqin Chen, Lars Nyre

{"title":"Word cloud visualisation of locative information","authors":"B. Tessem, S. Bjørnestad, Weiqin Chen, Lars Nyre","doi":"10.1080/17489725.2015.1118566","DOIUrl":"https://doi.org/10.1080/17489725.2015.1118566","url":null,"abstract":"Abstract This article describes an explorative study of a prototype for visualisation of locative information from Wikipedia. PediaCloud is a smartphone app that uses word clouds for graphical display of links to text and photos relating to a particular place. This approach to accessing location-based information is different from more common approach of using interactive maps to visualise the information. PediaCloud gives you a word cloud representing your location, and the words are links to Wikipedia articles. In addition to reading the Wikipedia entries, you can re-centre your information probe by getting a topical word cloud weighting the located information content in relation to that particular word. This results in word cloud visualisations that could bring the user into a variety of topics. In this article, we explore the potential use value of a service like this and identify opportunities for further design and development. PediaCloud was tested in 2014 in a field trial in London, a big city with large amounts of located information, with eight participants from the city. The data collected indicate that PediaCloud will be experienced as an explorative locative service, where you discover nearby information by coincidence rather than after searching for it instrumentally. The analysis has explored the nuances and potentials of this ‘sideways’ search that is embedded in PediaCloud, and shows how this can be considered a serendipitous search approach, giving the users information in a manner that can be considered fun, surprising and interesting.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"9 1","pages":"254 - 272"},"PeriodicalIF":2.3,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2015.1118566","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60102812","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: 25

On processing GPS tracking data of spatio-temporal car movements: a case study 汽车运动时空GPS跟踪数据处理方法研究

IF 2.3

Journal of Location Based Services Pub Date : 2015-10-01 DOI: 10.1080/17489725.2015.1098738

Xiaoyun Zhao

引用次数: 14

Locus: robust and calibration-free indoor localization, tracking and navigation for multi-story buildings 轨迹:用于多层建筑的室内定位、跟踪和导航

IF 2.3

Journal of Location Based Services Pub Date : 2015-07-01 DOI: 10.1080/17489725.2015.1099751

P. Bhargava, Shivsubramani Krishnamoorthy, Anilesh Shrivastava, Aditya Karkada Nakshathri, M. Mah, A. Agrawala

{"title":"Locus: robust and calibration-free indoor localization, tracking and navigation for multi-story buildings","authors":"P. Bhargava, Shivsubramani Krishnamoorthy, Anilesh Shrivastava, Aditya Karkada Nakshathri, M. Mah, A. Agrawala","doi":"10.1080/17489725.2015.1099751","DOIUrl":"https://doi.org/10.1080/17489725.2015.1099751","url":null,"abstract":"A fundamental goal of indoor localisation technology is to achieve the milestone of combining minimal cost with accuracy sufficient enough for general consumer applications. To achieve this, current indoor positioning systems need either extensive calibration or expensive hardware. Moreover, very few systems built so far have addressed floor determination in multi-story buildings. In this paper, we explain a Wi-fi-based indoor localisation, tracking and navigation system for multi-story buildings called Locus. Locus determines a device’s floor as well as location on that floor using existing knowledge of infrastructure, and without requiring any calibration or proprietary hardware. It is an inexpensive solution with minimum set-up and maintenance expenses, is scalable, readily deployable and robust to environmental changes. Experimental results in three different buildings spanning multiple floors show that it can determine the floor with 95.33% accuracy and the location on the floor with an error of 6.49 m on an average in real-life practical environments. We also demonstrate its utility via two location-based applications for indoor navigation and tracking in emergency scenarios.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"9 1","pages":"187 - 208"},"PeriodicalIF":2.3,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2015.1099751","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60102720","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

Enriching user experiences with location-sensitive music services* 丰富用户体验与位置敏感的音乐服务*

IF 2.3

Journal of Location Based Services Pub Date : 2015-07-01 DOI: 10.1080/17489725.2015.1098737

P. Åman, Lassi A. Liikkanen, Atte Hinkka

引用次数: 5