Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory
Multi-agent systems can be used for modelling large-scale distributed systems in real world
applications. In intelligent transportation system (ITS), many interacting entities influence the …
applications. In intelligent transportation system (ITS), many interacting entities influence the …
Holonic multi-agent system for traffic signals control
Agent-based technologies are rapidly growing as a powerful tool for modelling and
develo** large-scale distributed systems. Recently, multi-agent systems are largely used …
develo** large-scale distributed systems. Recently, multi-agent systems are largely used …
A critical review of the use of holonic paradigm in traffic and transportation systems
The paper presents a critical review of the use of holonic paradigm in order to model and
simulate traffic and transportation systems. After an introduction presenting the principles of …
simulate traffic and transportation systems. After an introduction presenting the principles of …
Hierarchical control of traffic signals using Q-learning with tile coding
Multi-agent systems are rapidly growing as powerful tools for Intelligent Transportation
Systems (ITS). It is desirable that traffic signals control, as a part of ITS, is performed in a …
Systems (ITS). It is desirable that traffic signals control, as a part of ITS, is performed in a …
A brief review of holonic multi-agent models for traffic and transportation systems
The paper presents a state of the art of multilevel models for traffic and transportation
modeling and simulation using holonic multi-agent approach. After an introduction and …
modeling and simulation using holonic multi-agent approach. After an introduction and …
A socially-based distributed self-organizing algorithm for holonic multi-agent systems: Case study in a task environment
Holonic multi-agent systems (HMASs) have recently attracted many researches in multi-
agent systems community. Inspired from the multi-level and self-similar structures of social …
agent systems community. Inspired from the multi-level and self-similar structures of social …
The impact of diversity on performance of holonic multi-agent systems
There are Numerous researches in the fields of social sciences and multi-agent systems that
are dedicated to studying the role of diversity vs. individual capabilities in design and …
are dedicated to studying the role of diversity vs. individual capabilities in design and …
Multi-level holonification of multi-agent networks
A networked multi-agent system is a group of intelligent agents structured in a social network
induced by agent interactions. As the size and diversity of the multi-agent system increase …
induced by agent interactions. As the size and diversity of the multi-agent system increase …
Towards reinforcement learning for holonic multi-agent systems
Holonic multi-agent system (HMAS) offers a promising approach to model complex systems.
HMAS is based on self-similar entities defined in a holarchical organization. Although some …
HMAS is based on self-similar entities defined in a holarchical organization. Although some …
[HTML][HTML] Dynamic Tree-Based Routing: Applied in Wireless Sensor Network and IOT
M Khazaei - … of Information Systems and Telecommunication (JIST), 2022 - jist.ir
The Internet of Things (IOT) has advanced in parallel with the wireless sensor network
(WSN) and the WSN is an IOT empowerment. The IOT, through the internet provides the …
(WSN) and the WSN is an IOT empowerment. The IOT, through the internet provides the …