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The Global ETD Search service is a free service for researchers
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Undersökning av GNSS flervägsfel på campusområdet vid Högskolan i GävleSälg, Daniel, Hjorter, August January 2019 (has links)
Multipath error is a source of uncertainty within GNSS (Global Navigation Satellite System) where signals are reflected on various surfaces before they reach the receiver. The phenomenon causes a delay in the receiver when the reflected signal travels a longer distance than the direct one. Despite the fact that there is a good knowledge of the error, multipath effects are still a complex subject since its origin varies a lot. This has led to a number of different methods being developed for the purposes to distinguish and treat the error. The main goal of this study is to investigate the size and distribution of multipath errors and to present which satellites contributes to the most multipath effects meanwhile evaluating the existence of possible reflective objects. As a result, static measured coordinates are also analyzed against coordinates from a real-time measurement in order to study possible connections related to multipath errors. The study is based on observations measured over 16 points on the green area in front of house 45 at the University of Gävle. Furthermore, data processing and analysis are performed in the open software RTKlib with associated program extensions. The result of the study shows that multipath errors have an influence on GNSS-measurements over the survey area and that these errors vary in centimeters to a decimeter level in mean value and RMS for all points. Furthermore, it also appears from the study that satellites that are at higher elevation also emit signals containing multipath errors. In addition, it may be noted that signals even at higher elevation masks contribute to multipath errors over the points where points 2, 3 and 12 are most affected. Furthermore, signals from the satellites R10, R11, R19, R20 and G15 contain high multipath on both L1 and L2 frequencies. Possible sources of reflections was estimated over the area for points 2, 3 and 12 from the correlation between high multipath errors and direction towards the investigation area. / Flervägsfel är en osäkerhetskälla inom GNSS (Global Navigation Satellite System) där signalerna reflekteras innan de når mottagaren. Fenomenet orsakar en fördröjning hos mottagaren då den reflekterade signalen färdas en längre sträcka än den direkta. Trots att det idag finns en god kännedom kring felkällan är flervägsfel fortsatt komplex eftersom dess ursprung är väldigt varierande. Detta har medfört att en rad olika metoder tagits fram för experimentella ändamål inom området. Syftet med denna studie är att undersöka storlek och fördelning av flervägsfel samt visa på vilka satelliter som bidrar mest till effekterna av felkällan samtidigt som eventuella reflekterande objekt utvärderas. I följd av detta analyseras även efterberäknade koordinater mot koordinater från en realtidsmätning för att om möjligt kunna studera eventuella samband relaterat till flervägsfel. Studien grundar sig på observationer mätta med statisk metod över 16 punkter på gräsytan framför hus 45 vid Högskolan i Gävle. Vidare utförs databehandling och analyser i den öppna programvaran RTKlib med tillhörande programtillägg. Resultatet av undersökningen visar att flervägsfel har en påverkan på GNSS-mätningar över undersökningsområdet och att dessa fel varierar på centimeter till decimeternivå i medelvärde och RMS för samtliga punkter. Vidare framgår det också av undersökningen att satelliter som befinner sig vid högre elevationsmask också avger signaler innehållande flervägsfel. Som slutsats kan det konstateras att signaler även vid högre elevationsmask bidrar till flervägsfel över punkterna där punkterna 2, 3 och 12 är högst påverkade. Vidare innehåller signaler från satelliterna R10, R11, R19, R20 och G15 högt flervägsfel på både L1 och L2 frekvensen. Möjliga reflektionsobjekt uppskattades över området för punkterna 2, 3 och 12 från sambandet mellan högt flervägsfel samt riktning mot undersökningsområdet.
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GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS DataDalumpines, Ron 26 September 2014 (has links)
Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use).
The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit.
There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD)
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