… , a Q-learning and fuzzy logic-based hierarchical routing method … At each intersection,
RSUs use a Q-learning-based routing … Furthermore, vehicles use a fuzzy logic-based routing …

… It is a hierarchical routing method. A … -based routing method using Q-learning (IRQ) was
suggested for vehicular ad hoc networks in the intelligent transportation system. IRQ is a …

… a geographic routing scheme, which utilizes a hierarchical routing framework and consists of
two main parts: multi-dimensional Q-learning-based routing … fuzzy logic-based manner. This …

… technology in the future of Intelligent Transportation Systems (ITS), … -based hierarchical
routing scheme with tuning output … -based traffic-aware routing via fuzzy Q-learning called ITAR-…

… scalability as well as supporting multimedia traffic. In this routing scheme, we consider a
hybrid … In this research, we considered the Q-learning algorithm to solve routine problems. …

… a novel hierarchical routing scheme for SDVN that aims to provide stable and effective
routing … Based on RL, especially Q-learning, vehicles can learn the best route by exchanging …

… This paper presents a hierarchical Q-learning-based routing … • We propose a grouped
RSU-based routing scheme for large-… Wang, “Hierarchical routing for vehicular ad hoc networks …

… Our idea is to exploit Q-learning combined with Fuzzy logic. In our Q-learning paradigm, each
… the efficiency of the Q-learning-based offloading algorithm, we adopt Fuzzy logic to adjust …

… Furthermore, we will utilize new strategies like Q-learning and artificial neural networks (ANNs)
to design robust trust frameworks to better separate abnormal nodes from normal nodes. …

… Routing. The decision of the handovers is to ensure that if there is any requirement of the
vertical handovers using dynamic Q-learning … (IoT) and intelligent transportation system (ITS) …