Analiza utjecaja podupirućih telematičkih tehnologija na razvoj umreženih autonomnih vozila

master's thesis

• Title (english): Analyssis of the Impact of Supporting Telematics Technologies on the Development of Connected Autonomous Vehicles
• Author: Ivan Vidović
• Mentor: Miroslav Vujić (mentor)
• Committee member: Pero Škorput (predsjednik povjerenstva)
• Committee member: Martin Gregurić (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: 2023-09-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Intelligent Transport Systems and Logistics

Abstract

Razvoj podupirajućih tehnologija će pružiti veliku brzinu prijenosa podataka, nisku latenciju i pouzdanost, što bi moglo biti ključno za daljnji razvoj autonomnih vozila. Visoka brzina prijenosa podataka omogućuje vozilima da brzo preuzimaju i obrađuju velike količine podataka prikupljenih različitim tehnologijama i uređajima, npr. senzori, kamere itd. To će poboljšati sposobnost autonomnih vozila za brzo i precizno reagiranje na promjene u okruženju. Niska latencija 5G mreže omogućuje da se informacije između vozila i mreže prenose gotovo trenutno, čime se poboljšava vrijeme reakcije vozača na promjene u okruženju. To je posebno važno za autonomna vozila koja se mogu kretati velikim brzinama i moraju trenutno reagirati na promjene u prometu. Povećana pouzdanost 5G mreže smanjuje mogućnost gubitka signala ili prekida komunikacije između vozila i infrastrukture. Ovo je važno za autonomna vozila koja se oslanjaju na neprekidnu komunikaciju s drugim vozilima i infrastrukturom kako bi sigurno i učinkovito djelovala. Ukratko, 5G mreža će biti ključan faktor za daljnji razvoj autonomnih vozila, pružajući im velike brzine prijenosa podataka, nisku latenciju i povećanu pouzdanost. Ove karakteristike 5G mreže omogućit će autonomnim vozilima da brzo i precizno reagiraju na promjene u okruženju te da budu sigurnija i učinkovitija u svojim aktivnostima.

Abstract (english)

The development of supporting technologies will provide high data transfer speed, low latency and reliability, which could be crucial for the further development of autonomous vehicles. High data transfer rate allows vehicles to quickly download and process large amounts of data collected by various technologies and devices, e.g., Sensors, cameras, etc. This will improve the ability of autonomous vehicles to respond quickly and accurately to changes in the environment. The low latency of the 5G network allows information to be transmitted between the vehicle and the network almost instantaneously, improving the driver’s reaction time to changes in the environment. This is especially important for autonomous vehicles that can move at high speeds and must react instantly to changes in traffic. The increased reliability of the 5G network reduces the possibility of signal loss or interruption of communication between the vehicle and the infrastructure. This is important for autonomous vehicles that rely on continuous communication with other vehicles and infrastructure to operate safely and efficiently. In short, the 5G network will be a key factor for the further development of autonomous vehicles, providing them with high data transfer speeds, low latency and increased reliability. These characteristics of the 5G network will allow autonomous vehicles to react quickly and precisely to changes in the environment and to be safer and more efficient in their activities.

• Keywords: podupirujuće tehnologije; autonomna vozila; velika brzina prijenosa podataka; niska latencija; povećana pouzdanost; senzori; infrastruktura; sigurnost; učinkovitost
• Keywords (english): supporting technologies; autonomous vehicles; high data transfer rate; low latency; increased reliability; sensors; infrastructure; security; efficiency
• Language: croatian
• URN:NBN: urn:nbn:hr:119:272540
• Study programme: Title: Intelligent Transport Systems and Logistics; 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: 2023-09-18 13:49:42