20.500.12556/RUL-154913 Primerjava prometnih trendov na podlagi računskih analiz štetja prometa Application of Traffic Counters to the Comparative Analysis of Traffic Trends 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. 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. prometni trendi upravljanje prometa podatkovna analiza podatkovno rudarjenje strojno učenje traffic trends traffic monitoring data analysis data mining machine learning true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-03-08 09:40:01 2024-03-08 09:40:04 2024-03-15 07:44:12 0000-00-00 00:00:00 2024 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 36640 189018115 Ratej_Luka_-_Primerjava_prometnih_trendov_na_podlagi_racunskih_analiz_stetja_prometa.pdf Ratej_Luka_-_Primerjava_prometnih_trendov_na_podlagi_racunskih_analiz_stetja_prometa.pdf 1 8C025380234F74ACA2424914F184702B f49af943fa426a32dd051ec2bd1a852f78313461e1b13b50f8bcccc8e874897c 75f547e7-dd27-11ee-b35c-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=181559 Fakulteta za računalništvo in informatiko 0 0 0