{"title":"A novel dynamic localisation system for indoor and outdoor tracking","authors":"T. Hooi, H. L. Khoo, R. Komiya","doi":"10.1080/17489725.2019.1606459","DOIUrl":"https://doi.org/10.1080/17489725.2019.1606459","url":null,"abstract":"ABSTRACT Hybrid indoor and outdoor localisation system has generated substantial interest from researchers due to its potential use in many fields. Many research papers on hybrid localisation were focused on localisation accuracy and computation time instead of the process for seamless switching during the subject’s indoor-outdoor movement. Seamless and stable switching can improve the usability and practicality of a system in an ever-changing scenario. This paper presents a hybrid localisation system that can adapt to the changes in the environment. Two hybrid systems – Enhanced Fusion Hybrid (EFH) and Enhanced Unified Hybrid (EUH), and novel signal selection and switching algorithms suitable for dynamic environment where signal fluctuations and transient condition frequently occur, i.e. the Clean Radio Signal Label (CRSL) classification algorithm and the Adaptive Signal Thresholding (AST) algorithm are proposed. From the experimental results of EFH and EUH methods, the GPS and Wi-Fi combination produces the best results as compared to the combinations of GPS and GSM or GSM and Wi-Fi. The accuracy of estimates was improved to 2.0 m to 5.0 m. Further work shown that an accuracy of 2.0 m or less could be achieved with an increase in Wi-Fi nodes from three to four for the system.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"178 - 212"},"PeriodicalIF":2.3,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1606459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43058235","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}
{"title":"Applying user-centred design for smartwatch-based pedestrian navigation system","authors":"Martin Perebner, Haosheng Huang, G. Gartner","doi":"10.1080/17489725.2019.1610582","DOIUrl":"https://doi.org/10.1080/17489725.2019.1610582","url":null,"abstract":"ABSTRACT The characteristics of a smartwatch impose several challenges regardig the design of a pedestrian navigation aid. This paper illustrates how landmark-based pedestrian navigation systems for smartwatches can be developed, considering the small screen sizes as well as the very limited interaction capacities of these wrist-worn devices. Particularly, by the use of a user-centred design approach, an initial user interface was developed, tested, and refined in two field experiments to create a final user interface. A combination of map view and direction view was proposed, where the map view provides an overview of the environment and route, while the direction view gives clear instructions (turning information) for decision points. The interface was further enhanced by the use of vibrations before decision points. In addition, landmarks were carefully considered and incorporated into both map view and direction view. The field experiments showed that these key features of the revised interface can effectively support pedestrian navigation via smartwatches.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"213 - 237"},"PeriodicalIF":2.3,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1610582","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48082428","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}
{"title":"Understanding the relationship between complicated crossings and frequently visited locations – a case study with boro taxis in Manhattan","authors":"A. Keler, J. Krisp","doi":"10.1080/17489725.2019.1588406","DOIUrl":"https://doi.org/10.1080/17489725.2019.1588406","url":null,"abstract":"ABSTRACT Urban mobility has complex patterns and principles. Data of moving entities on the underlying transportation infrastructure can help understanding those complex patterns and principles. Therefore, we need static infrastructural information and knowledge on spatio-temporal movement patterns of public transport services and of various vehicle fleets. We focus on inspecting data partitions of individual taxi movement acquisitions in New York City (NYC), together with OpenStreetMap (OSM) data extracts, for gaining more knowledge about the complex daily mobility patterns in NYC. We select trip information of tracked boro taxi drivers, who are restricted to pick up customers at the airports and the southern part of Manhattan. By computing with taxi customer drop-off positions, we define drop-off clusters as the customer destination hotspots of selected Saturdays in June 2015. These hotspots are then related to the OSM road network, in particular to its derivatives: complicated crossings. By comparing with a previous assumption of detecting ‘fast leaving’ behaviour within the restricted zone, we receive characteristic matching results: only few destination hotspots appear at complicated crossings. Nearly all the matching intersections have nearby situated pedestrian zones and many are associated with previous construction measures. Finally, we reason on the usefulness of the proposed method.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"159 - 177"},"PeriodicalIF":2.3,"publicationDate":"2019-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1588406","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49603387","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}
{"title":"Approaching location-based services from a place-based perspective: from data to services?","authors":"Azam R. Bahrehdar, Olga Koblet, R. Purves","doi":"10.1080/17489725.2018.1564383","DOIUrl":"https://doi.org/10.1080/17489725.2018.1564383","url":null,"abstract":"ABSTRACT Despite the seemingly obvious importance of a link between notions of place and the provision of context in location-based services (LBS), truly place-based LBS remain rare. Place is attractive as a concept for designing services as it focuses on ways in which people, rather than machines, represent and talk about places. We review papers which have extracted place-relevant information from a variety of sources, examining their rationales, the data sources used, the characteristics of the data under study and the ways in which place is represented. Although the data sources used are subject to a wide range of biases, we find that existing methods and data sources are capable of extracting a wide range of place-related information. We suggest categories of LBS which could profit from such information, for example, by using place-related natural language (e.g. vernacular placenames) in tracking and routing services and moving the focus from geometry to place semantics in location-based retrieval. A key future challenge will be to integrate data derived from multiple sources if we are to advance from individual case studies focusing on a single aspect of place to services which can deal with multiple aspects of place.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"73 - 93"},"PeriodicalIF":2.3,"publicationDate":"2019-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1564383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46147952","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}
{"title":"Drone services: issues in drones for location-based services from human-drone interaction to information processing","authors":"Majed M. Alwateer, S. Loke, A. Zuchowicz","doi":"10.1080/17489725.2018.1564845","DOIUrl":"https://doi.org/10.1080/17489725.2018.1564845","url":null,"abstract":"ABSTRACT Recently, drones (or unmanned aerial vehicles (UAVs)) are getting increasing attention and taking mobile computing to a new era. Due to the support of highly advanced technologies, soon they might be ubiquitous and networks of drones might be used in providing civilian drone services. In this paper, we provide a survey of drone services and applications, data management for drones, data services using drones, distributed computing trends fuelled by drones and a range of human-drone interaction research which is useful if drones are to regularly serve non-technical users, while highlighting the specific concerns in data management and airborne Internet-of-Things (IoT) computing infrastructure. We present concepts such as drones-as-a-service and fly-in, fly-out computing infrastructure, and note data management and system design issues that arise in these situations. Issues of Big Data arising from such applications, optimising the configuration of airborne and ground infrastructure to provide the best QoS and QoE, situation-awareness, scalability, reliability, scheduling for efficiency, interaction with users and drones using different methods are noted.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"127 - 94"},"PeriodicalIF":2.3,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1564845","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45101447","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}
{"title":"Modified Jaccard index analysis and adaptive feature selection for location fingerprinting with limited computational complexity","authors":"Caifa Zhou, A. Wieser","doi":"10.1080/17489725.2019.1577505","DOIUrl":"https://doi.org/10.1080/17489725.2019.1577505","url":null,"abstract":"ABSTRACT We propose an approach for fingerprinting-based positioning which reduces the data requirements and computational complexity of the online positioning stage. It is based on a segmentation of the entire region of interest into subregions, identification of candidate subregions during the online-stage, and position estimation using a preselected subset of relevant features. The subregion selection uses a modified Jaccard which quantifies the similarity between the features observed by the user and those available within the reference fingerprint map. The adaptive feature selection is achieved using an adaptive forward-backward greedy search which determines a subset of features for each subregion, relevant with respect to a given fingerprinting-based positioning method. In an empirical study using signals of opportunity for fingerprinting the proposed subregion and feature selection reduce the processing time during the online-stage by a factor of about 10 while the positioning accuracy does not deteriorate significantly. In fact, in one of the two study cases, the 90th percentile of the circular error increased by 7.5% while in the other study case we even found a reduction of the corresponding circular error by 30%.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"128 - 157"},"PeriodicalIF":2.3,"publicationDate":"2019-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2019.1577505","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44458922","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}
{"title":"A comparative analysis of perceived and actual walking behaviour in varying land use and time","authors":"L. S. C. Pun-Cheng, C. Y. So","doi":"10.1080/17489725.2018.1563308","DOIUrl":"https://doi.org/10.1080/17489725.2018.1563308","url":null,"abstract":"ABSTRACT It is widely recognised that walking can bring about a host of health benefits. In order to encourage more walking, raising the walkability of pedestrian paths is one option. Studies in the past have taken on this subject but have only focused on a single variable only. By using a questionnaire to identify a pedestrian’s perception of the key variables of walkability and a map survey to explore his/her actual choice of paths in two different districts (residential and commercial) in Hong Kong, this study establishes an integrated picture covering several key variables affecting walkability. A qualitative analysis shows that most generally and individually perceived as preferred safe and comfortable walking environmental variables may not be reflected in actual walking behaviour, especially in a busy working district. As such, if walking is to be promoted, the government may consider increasing the greenness and width of walkways while navigation tools, which currently focus mainly on distance and time, can further be improved to include more behavioural variables.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"53 - 72"},"PeriodicalIF":2.3,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1563308","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44163211","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}
{"title":"Risk perception during urban cycling in volunteered geographic information and in the lab: effects of the vista space’s spatial properties","authors":"R. Stülpnagel, Konstantin Schmid","doi":"10.1080/17489725.2018.1552797","DOIUrl":"https://doi.org/10.1080/17489725.2018.1552797","url":null,"abstract":"ABSTRACT A wide range of factors affects risk perception during urban cycling. In this research, we investigate a factor so far not addressed: the spatial configuration of the vista space; with the underlying reasoning that more complex or rapidly changing vista spaces are perceived as more dangerous. We present a method to quantify a vista space’s spatial configuration by generating highly precise isovists based on laser scans. We test our assumptions in a lab-based study, where participants rate the perceived risk for cycling in various image sequences displaying complex traffic situations. The tested traffic situations are selected from a project collecting citizens’ reports about urban cycling risks. Our findings support the hypothesis that the spatial configuration of the vista space is a highly relevant factor for risk perception which deserves further investigation. Further analyses imply that volunteered geographic information on subjective topics such as risk perception may be of limited accuracy, but is likely to be representative for a larger population.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"13 1","pages":"1 - 24"},"PeriodicalIF":2.3,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1552797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45258773","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}
Ahmad Alabadleh, Saqer Aljaafreh, A. Aljaafreh, K. Alawasa
{"title":"A RSS-based localization method using HMM-based error correction","authors":"Ahmad Alabadleh, Saqer Aljaafreh, A. Aljaafreh, K. Alawasa","doi":"10.1080/17489725.2018.1535140","DOIUrl":"https://doi.org/10.1080/17489725.2018.1535140","url":null,"abstract":"ABSTRACT Indoor localization and tracking systems are harvesting more attention from the researchers. Recently, several approaches for localization systems have been proposed that use the sensors which are available on smartphones. In this paper, a new filtering approach based on Hidden Markov Model (HMM) techniques to enhance the accuracy of the localization system is presented. The proposed approach filtered out the undesirable Received Signal Strength (RSS) values which affect the accuracy of the system using the hidden states. The proposed approach helps in the direction and the distance estimation. The results of the proposed approach show a significant improvement in terms of distance estimation and the filtering of the RSS values.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"12 1","pages":"273 - 285"},"PeriodicalIF":2.3,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1535140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43878966","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}
{"title":"Learning indoor space perception","authors":"Andreas Sedlmeier, Sebastian Feld","doi":"10.1080/17489725.2018.1539255","DOIUrl":"https://doi.org/10.1080/17489725.2018.1539255","url":null,"abstract":"ABSTRACT Human perception of location and space forms the basis upon which the interaction with location-based services (LBS) takes place. Our work aims to develop a shared awareness and common understanding of location and space,between machines and their users by building upon research into the numerical representation of the visual perception of space. Different structures in buildings like rooms, hallways and doorways form different, corresponding patterns in these representations. Thanks to recent advances in the field of deep learning with neural networks, it now seems possible to explore the idea of automatically learning these recurring structures. This article presents a complete framework: starting from the collection of isovist measures along geospatial trajectories on indoor floor plans,over statistical data analysis, the unsupervised extraction of meaningful structure, up to the training of models that generalize to different environments. We show that isovist measures do reflect the recurring structures found in different buildings, that these recurring patterns are encoded in the data in a way that unsupervised machine learning can identify them andthat the identified structures are meaningful as they represent human relatable concepts.Furthermore, we propose to use cluster similarity analysis as a promising concept for quantifying visual perception similarity.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"12 1","pages":"179 - 214"},"PeriodicalIF":2.3,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2018.1539255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41676621","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}