Data platform for rapid application development in the field of monitoring of vehicle and driver habits).

Magistrsko delo opisuje podatkovno platformo za hiter razvoj aplikacij na področju avtomobilizma. Platformo smo razvili na primeru uporabe spremljanja vozil in voznikovih navad (upoštevanje prometnih predpisov, način vožnje). Podatkovna platforma je sestavljena iz mobilne aplikacije in strežnika. Naloga mobilne aplikacije je zbiranje podatkov iz vozila prek senzorjev mobilne naprave (GPS, pospeškomer) in vmesnika OBD2. Predstavljen je večplatformni razvoj mobilnih aplikacij, ki ustreza zahtevi po čim večji pokritosti mobilnih platform in čim večji hitrosti izvajanja. Strežnik sprejema podatke iz mobilnih naprav in jih shranjuje v prostorsko podatkovno bazo za potrebe analize. Je hkrati aplikacijski strežnik REST in spletni strežnik za prikazovanje uporabniškega vmesnika. Za podporo analizi omogoča pridobivanje podatkov o hitrostnih omejitvah in prikazovanje rezultatov na zemljevidu s pomočjo storitev v oblaku. Besedilo magistrskega dela raziskovalca uvede v področje spremljanja vozil in voznikovih navad, podatkovna platforma pa je osnova za raziskave in razvoj novih aplikacij in algoritmov. Premišljena izbira tehnologij in standardov omogoča hiter razvoj in enostavno uporabo brez izgube splošnosti in hitrosti izvajanja. Podatkovna platforma ostaja odprta za zamenjave tehnologij in prihodnje razširitve. Učenje uporabljenih tehnologij je olajšano z uporabo kode podatkovne platforme kot primera. Uporabniku je prihranjena kompleksnost izbire ustreznih tehnologij. Predstavljeni so viri podatkov, arhitektura sistema, uporabljene tehnologije in težave, na katere smo naleteli. Podani so nasveti za izboljšave in dopolnitev platforme. Priloženi so izvorna koda in testni podatki, s katerimi je mogoče testirati obstoječe algoritme in razviti nove. Kljub množici že obstoječih raziskav in projektov se na področju ponujajo vedno nove možnosti, še posebej, če upoštevamo vedno večje število podatkov, ki bodo v prihodnosti na voljo v vozilu preko OBD2, ter vedno večje zmogljivosti in zmožnosti pametnih mobilnih naprav. Kakršenkoli razvoj je nepredstavljiv brez podatkovne platforme, ki bo zmožna zajemanja in obdelovanja tako obsežnih in raznolikih podatkov. Predstavljena platforma je dober začetek na področju, izbrane tehnologije in standardi pa bodo za svoj namen uporabni še vrsto let.This master\u27s thesis describes a data platform for the fast development of applications in the automotive field. The platform is developed after the use case of monitoring of vehicle and driver habits (compliance with traffic regulations, way of driving). The data platform is composed of a mobile application and a server. The task of mobile applications is to collect data on the vehicle via the mobile device sensors (GPS, accelerometer) and OBD2 interface. Featured is a multi-platform mobile application development that meets the requirement for maximum coverage of mobile platforms and maximum speed of execution. The server receives and stores data from mobile devices in a spatial database for the purpose of analysis. It servers both as a REST application server and web server to display a user interface. In support of analysis it allows obtaining information on the speed limit and displacing the results on a map by using cloud services. The thesis introduces the researcher in the field of monitoring of vehicle and driver habits, the data platform serves as a base for research and development of new applications and algorithms. Careful selection of technologies and standards enable the rapid development and ease of use without loss of generality and speed of execution. The platform allows switching technologies and adding future extension. Learning the is facilitated by using the code as an example. The user is spared the complexity of the selection of appropriate technologies. Data sources, system architecture, used technologies and encountered difficulties are presented. Tips for improvements and additions platform are suggested. The source code and test data to test existing and develop new algorithms is included. Despite the multitude of existing research and projects, the field still offers new opportunities, especially considering the growing quantity of data, which will be available in the in future via OBD2 and the ever increasing capabilities of smart mobile devices. Without a data platform, which is capable of capturing and processing such quantity and variety of data, development is unimaginable. The presented platform is a good start in the field and the selected technologies and standards will serve its purpose for many years to come