editedbook
APPLICATION OF MULTI-AGENT SYSTEMS FOR THE DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
Area/Stream: Computing Technologies and Data Sciences,
Authors: Giri Sathvika Vairam, Adivishnu Sri Sai Keerthi, Jashwitha Ganapathiraju, Srujana Pynni, Apoorva Vanumu, Geetha Usha Sri Bade
Keywords: multi-agent systems, smart cities, intelligent transportation, traffic, modeling and simulation.
Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 2, Chapter 6
Publication: IIP Proceedings
Year: 2022,
Month: November
Page No: 133-144,
ISSN/ISBN: 978-81-959356-3-5,
DOI/Link: https://rsquarel.org/assets/docupload/rsl202334FA8D6F442C321.pdf
Abstract:
In this chapter, research is provided on agent-based approaches to transportation. As there is a new era in IT (Information technology), the MAT (multi-agent technique) could help for the reaction towards the increasing interest which is making transportation and traffic more functional. The main aim of transportation and traffic systems is the best which suits an agentbased approach as transportation systems are distributed geographically in the dynamic changing environment. In this, the methods and techniques are found resulting from the fields of both multi-agent and agent systems which have been appealing to many features of transportation and traffic systems, that also includes testing and modeling, and managing of intellectual traffic control. The main feature of the MAS (multiagent system) is independency, convolution, resilience, and motility can always resolve their contributions. Ultimately, many research directions about the successful distribution of multi-agent technology in transportation and traffic systems are talked through.
Cite this: Giri Sathvika Vairam, Adivishnu Sri Sai Keerthi, Jashwitha Ganapathiraju, Srujana Pynni, Apoorva Vanumu, Geetha Usha Sri Bade,"APPLICATION OF MULTI-AGENT SYSTEMS FOR THE DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 2, Chapter 6, November, 2022, 133-144, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl202334FA8D6F442C321.pdf