Platvorm trajektoori rekonstrueerimiseks hajusalt esitatud GPS-andmeid kasutades
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2016
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GPS vastuvõtjat sisaldavate seadmete populariseerumisega kaasneb ka GPS-andmete kogumise ja analüüsimise suurenemine. Analüüsitud andmeid saab kasutada kasutajale läbitud teekonna kohta informatsiooni andmiseks. \n\rLäbitud teekonna täpne leidmine võib osutuda keerukaks, sest GPS-signaalid võivad mõnes piirkonnas olla hajusad või puudulikud. Algus- ja lõpp-punkti vahel kõige lühema võimaliku teekonna kasutamine ei vii alati õige tulemuseni. Üks viis parandada õige teekonna leimise täpsust on arvesse võtta ka kasutaja poolt teekonna läbimiseks kulunud aega.\n\rSelle bakalaurusetöö eesmärk on välja pakkuda platvorm teekonna rekonstrueerimiseks kasutades hajusalt esitatud GPS-andmeid. Lisaks pakutakse välja meetod, mis kasutab trajektoori rekonstrueerimisel GPS-andmete ajalist aspekti.\n\rSelle bakalaureusetöö tulemusena luuakse platvorm teekonna rekonstrueerimiseks ja pakutakse välja meetod teekonna rekonstrueerimiseks. Platvorm võimaldab rekonstrueerida kasutaja poolt läbitud teekonna. Selle asemel, et kasutada ainult lühima tee otsimist, võtab otsust tegev algoritm arvesse ka kasutaja poolt teekonna läbimiseks kulunud aega, et leida tõenäolisem tee.\n\rPlatvorm võimaldab analüüsida ja visualiseerida GPS-andmeid ja rekonstrueerida trajektoor täpsemini kui ainuüksi kõige lühema võimaliku teekonna kasutamisel ajalist aspekti arvesse võtmata.\n\rTäpsema meetodi kasutamine tee rekonstrueerimisel kasutades GPS-admeid muudab õige trajektoori leidmise täpsemaks. Tänu sellele paraneb kasutajale antava informatsiooni kvaliteet.
As the devices having GPS receivers are becoming more common, collecting and analysing GPS data is increasing as well. The analysed data can be used to give the user information about travelled trajectories. \n\rFinding the exact travelled real trajectory can be difficult to achieve as the GPS signals may be sparse or missing in some areas. Using the shortest possible path between the start and destination does not always lead to a correct result. One way to improve the accuracy of determining the correct trajectory is to consider the travel time of the user as well. \n\rThe aim of this thesis is to propose a platform for trajectory reconstruction using sparsely sampled GPS data. Additionally, it aims to propose a method that uses the temporal aspect of GPS data for trajectory reconstruction.\n\rAs a result of this thesis work a platform for trajectory reconstruction is created and the method for trajectory reconstruction is proposed. The platform enables to reconstruct the real trajectory travelled by the user. Instead of using only shortest path search the decision making algorithm uses the real travel time of the user to find more probable trajectory travelled by the user.\n\rThe provided platform enables to analyse and visualise GPS data and reconstruct the trajectory more accurately than it would have been performed without including the temporal aspect of GPS data. \n\rUsing more accurate method to reconstruct trajectories using GPS data makes finding the real trajectory more precise. Hence, the quality of the information given to the user improves.
As the devices having GPS receivers are becoming more common, collecting and analysing GPS data is increasing as well. The analysed data can be used to give the user information about travelled trajectories. \n\rFinding the exact travelled real trajectory can be difficult to achieve as the GPS signals may be sparse or missing in some areas. Using the shortest possible path between the start and destination does not always lead to a correct result. One way to improve the accuracy of determining the correct trajectory is to consider the travel time of the user as well. \n\rThe aim of this thesis is to propose a platform for trajectory reconstruction using sparsely sampled GPS data. Additionally, it aims to propose a method that uses the temporal aspect of GPS data for trajectory reconstruction.\n\rAs a result of this thesis work a platform for trajectory reconstruction is created and the method for trajectory reconstruction is proposed. The platform enables to reconstruct the real trajectory travelled by the user. Instead of using only shortest path search the decision making algorithm uses the real travel time of the user to find more probable trajectory travelled by the user.\n\rThe provided platform enables to analyse and visualise GPS data and reconstruct the trajectory more accurately than it would have been performed without including the temporal aspect of GPS data. \n\rUsing more accurate method to reconstruct trajectories using GPS data makes finding the real trajectory more precise. Hence, the quality of the information given to the user improves.