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Spletna aplikacija za napoved pretoka prometa : diplomsko delo
ID
Dubravac, Dragan
(
Author
),
ID
Šter, Branko
(
Mentor
)
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MD5: 13868075BCBDE6445681DBAA374F2D45
PID:
20.500.12556/rul/5e4e4c9d-1f86-4afe-98c8-298b9b18feb1
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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.
Language:
Slovenian
Keywords:
Java
,
promet
,
zastoj
,
spletna aplikacija
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FRI - Faculty of Computer and Information Science
Publisher:
[D. Dubravac]
Year:
2015
Number of pages:
29 str.
PID:
20.500.12556/RUL-73922
COBISS.SI-ID:
1536668867
Publication date in RUL:
03.12.2015
Views:
2844
Downloads:
285
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Secondary language
Language:
English
Title:
Web application for traffic flow forecasting
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.
Keywords:
Java
,
traffic
,
traffic jam
,
web application
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