Izrada informacijsko komunikacijskog sustava za praćenje prometnih entiteta i procjenu parametra brzine entiteta u prometnoj mreži

master's thesis

• Title (english): Information Communication System for Monitoring Traffic Entities and Parameter Estimate of an Entity Velocity in Traffic Network
• Author: Valentino Vizner
• Mentor: Tonči Carić (mentor)
• Mentor: Hrvoje Gold (mentor)
• Committee member: Ivan Grgurević (predsjednik povjerenstva)
• Committee member: Marko Periša (član povjerenstva)
• Committee member: Edouard Ivanjko (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Intelligent Transport Systems and Logistics); (Department of Intelligent Transport Systems); Zagreb
• Defense date and country: 2018-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Postal and Telecommunications Traffic

Abstract

Kvantitativna količina podataka osnova je za moguću obradu i pohranu podataka te grafički prikaz GPS podataka o prometnim entitetima unutar prometnog sustava. Za kvalitetnu procjenu prosječnih brzina, vremena putovanja i razinu pouzadnosti dobivenih rezultata tijekom dana, količinski je potreban zadovoljavajući broj podataka za svaki pojedini cestovni segment. Tako-đer, potreban je i odgovarajući infromacijsko-komunikacijski sustav koji će filtrirati, obraditi i pohraniti podatke u relacijsku bazu podataka te u aplikaciji prikazati rezultate krajnjem korisniku, što je ujedno i cilj ovog diplomskog rada. Prikazane su matematičke metode filtriranja podataka s odgovarajućim formulacijama, obrada podataka te grafički prikaz podataka. Nakon obrade, obrađeni podaci pohranjuju se u relacijsku bazu podataka PostgreSQL. Implementirano je grafičko sučelje u Python programskom jeziku za dohvaćanje i prikaz podataka spremljenih u bazu podatka na interaktivnoj karti. Time se stvara proširivi informacijsko-komunikacijski sustav informiranja korisnika o stanju prometa i pruža mogućnost optimiziranja ruta flote vozila.

Abstract (english)

The quantitative data are the basic step for processing, storage and a graphical represen-tation of GPS data of traffic entities within the traffic system. For a good estimate of average speeds, travel time and the level of reliability during the day a sufficient number data are needed for each road segment. Also, adequate information-communication system is required, that will filter, process and store the data in the relational database and display the results to the end user in the developed application. Mathematical methods for filtering data with appropriate formu-lations are presented together with processing and graphical presentation of the results. After processing, the processed data are be stored in the relational database PostgreSQL together with processing and graphical presentation of the results. GUI application in Python programming language is implemented which is used to retrieve and display the data from database on inte-ractive map. This creates an expandable information-communication system for informing the user about the traffic state and provides the possibility of optimizing the route for the fleet of vehicles.

• Keywords: relacijska baza podataka; SQL; Python; GPS; obrada i pohrana podataka; razina pouzdanosti; PostgreSQL; aplikacija s interaktivnom kartom
• Keywords (english): database; SQL; Python; GPS; processing and storage of data; level of reliability; PostgreSQL; interactive map application
• Language: croatian
• URN:NBN: urn:nbn:hr:119:958559
• Study programme: Title: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport; Course: Information and Communication Traffic; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-01-10 13:11:43