Primerjava prometnih trendov na podlagi računskih analiz štetja prometa

diplomsko delo

Luka Ratej (Author), Miha Moškon (Mentor), Špela Verovšek (Co-mentor)

Abstract

V gosto poseljenih urbanih območjih je za optimalno delovanje sistema mobilnosti ključnega pomena razumevanje prometnih tokov. Z boljšim razumevanjem tokov lahko te bolje nadzorujemo in dolgoročno tudi usmerjamo. V mestih in na avtocestah je štetje prometa eden od tradicionalnih pristopov k pridobivanju podatkov o stanju prometnih cestnih tokov. Tovrstno štetje opravljajo različni senzorji in podsistemi. S pomočjo podatkov senzorjev sem ustvaril podsistem, ki analizira in poskuša napovedati vrednosti podatkov tudi na drugih prometnih odsekih in poteh. Do končnega cilja sem prišel z uporabo različnih tehnik in metod. Nad podatki sem najprej opravil nekaj osnovnih statističnih analiz, da sem razumel kaj predstavljajo in kako so povezani. Delo sem nadaljeval s tehnikami podatkovnega rudarjenja in poskusil napovedati vrednosti podatkov.

Keywords

prometni trendi;upravljanje prometa;podatkovna analiza;visokošolski strokovni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[L. Ratej]
UDC:	004.85:656.021(043.2)
COBISS:	189018115
Views:	51
Downloads:	12
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Application of Traffic Counters to the Comparative Analysis of Traffic Trends
Secondary abstract:	One of the biggest problems highly populated urban areas face today, is inefficient mobility, especially when manifested as traffic congestions. Therefore, understanding traffic congestions and flows is a key insight needed for solving these issues. Cities and highways are traditionally well covered by traffic monitoring systems. The network of these systems is continuously being developed. Such systems aim to detect congestion in different ways. With data from the vehicle counting system, I have created a model, which analyzes and tries to predict values of the system. I have performed the targeted analyses with the use of different techniques and methods. I started off with a basic statistical analysis, to better understand the presented data and connections between its values. I continued with data mining approaches and tried to predict certain data values.
Secondary keywords:	traffic trends;traffic monitoring;data analysis;data mining;machine learning;computer science;diploma;Promet;Podatkovno rudarjenje;Strojno učenje;Računalništvo;Univerzitetna in visokošolska dela;
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:	49 str.
ID:	23095693