izvorni znanstveni rad
The development of the Vehicle to Everything (V2X) communication technology can provide crucial data for traffic analysis on the microscopic level. Real-time data from Connected Vehicles (CVs) opens new research possibilities providing detailed insight into the actual traffic state. Speed Transition Matrices (STMs) can be used for this insight and can be created within a fully observable traffic environment. By introducing CVs into the traffic network, it is possible to obtain a partial observation of the traffic environment. This paper explores how the data collected from CVs can be used for the creation of STMs at an isolated intersection in a simulated environment. An emphasis is given on how the CVs penetration rate impacts the accuracy of the created STM. The results show that by increasing the CVs penetration rate, the STM estimate accuracy is also increased, although the relation between estimate accuracy and the penetration rate is not linear. Obtained results show that the error of STM estimation rapidly decreases in the lower CVs penetration rate range.
Connected Vehicles ; Speed Transition Matrix ; SUMO ; Traffic Simulation
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…