izvorni znanstveni rad
Reduced Level of Service on urban motorways, which actually represents evolved urban bypasses, is the product of two overlapping problems. First of them is related to the heavy congestions, and the second one is related to the unavailable constructional build-up of their capacities since they are surrounded by the urban and traffic infrastructure. In order to cope with those problems, it is necessary to introduce urban motorway control methods such as for example ramp metering (RM). The main goal of RM is to increase the throughput of urban motorways by restricting access of on- ramp traffic to mainstream traffic by using special traffic lights. In this paper, an overview of currently most used RM algorithms (ALINEA, SWARM, and HELPER) and their fundamental deficiency in partial problem solving for different traffic scenarios is given. A new RM algorithm based on the Adaptive Neuro-Fuzzy System neural network called INTEGRA is also described.
urban motorways, ramp metering, traffic control, machine learning
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…