Spletna aplikacija za napoved pretoka prometa

diplomsko delo

Dragan Dubravac (Author), Branko Šter (Mentor)

Abstract

Motnje v prometu na avtocestah ponavadi povzročijo zgoščen pretok prometa ali pa celo zastoj. Glavni cilj diplomskega dela je izdelava aplikacije za napoved pretoka prometa in prometnih zastojev na podan datum in uro s pomočjo podatkov iz preteklosti. Z uporabo povprečne hitrosti lahko, s pomočjo podatkov števnih mest, napovemo pretok prometa in razvoj zastojev. Aplikacija prikaže graf, ki predstavlja število avtomobilov na dani števni lokaciji, ter upošteva pretok posamezne ceste in napove zastoje na cestah. Izdelana aplikacija je namenjena uporabnikom, ki želijo predvideti prometne zastoje. Za izdelavo aplikacije smo uporabili programski jezik Java, da lahko dosežemo neodvisnost od platforme, na kateri bomo aplikacijo uporabljali, ter možnost preproste objave na spletu.

Keywords

Java;promet;zastoj;spletna aplikacija;računalništvo;visokošolski strokovni študij;računalništvo in informatika;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2015
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[D. Dubravac]
UDC:	004.774:656.1(043.2)
COBISS:	1536668867
Views:	1427
Downloads:	161
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Web application for traffic flow forecasting
Secondary abstract:	Disturbances in traffic on highways usually lead to an increase in traffic flow density or even traffic jams. The main goal of the diploma thesis is to produce an application that will predict traffic flow and traffic jams on any given date and time based on traffic flow in the past. By using an estimated desired speed the traffic information gained from flow counters we can forecast the evolution of traffic jams. The application presents a graph that represents the number of vehicles on a given road section and forecasts potential traffic jams. The application is meant for users who wish to predict traffic jams. For the production of the application we have used the Java programming language for its cross-platform capability and ease of web deployment.
Secondary keywords:	Java;traffic;traffic jam;web application;computer science;computer and information science;diploma;
File type:	application/pdf
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000470
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	29 str.
ID:	9078486