Agent-Based Traffic Obstacles Information System

Kamil Ruta , R Damian , Maria Ganzha , Marcin Paprzycki

Abstract

Traffic management is one of the important aspects of modern cities. With the advent of so-called Smart Cities, it is claimed that information technologies can be used to deliver a substantial improvement in vehicle flow. As a result, among others, travel time and CO2 generation can be reduced. In this paper, we present an agent-based traffic obstacles information and avoidance system. We discuss the advantages of such a system, its key components, and technologies used during implementation. We also present sample scenarios, illustrating how the implemented system works.

Author Kamil Ruta (WUT)
Kamil Ruta,,
- Warsaw University of Technology
, R Damian (WUT)
R Damian,,
- Warsaw University of Technology
, Maria Ganzha (FMIS / DAICM) - [Instytut Badań Systemowych Polskiej Akademii Nauk]
Maria Ganzha,,
- Department of Artificial Intelligence and Computational Methods
- Instytut Badań Systemowych Polskiej Akademii Nauk
, Marcin Paprzycki (WUT) - Systems Research Institute. Polish Academy of Science
Marcin Paprzycki ,,
- Warsaw University of Technology
Pages81-93
Publication size in sheets0.6
Book Thampi Sabu M., Sherly Elizabeth, Dasgupta Soura, Mauri J. Lloret, Abawajy Jemal, Khorov Evgeny, Mathew Jimson (eds.): Applied Soft Computing and Communication Networks - Proceedings of ACN 2019, Lecture Notes in Networks and Systems, vol. 125, 2020, Springer, ISBN 978-981-15-3851-3, 261 p.
Keywords in EnglishAgents, Traffic, Traffic jam, Agent-based, Agent system, JADE, Java
DOIDOI:10.1007/978-981-15-3852-0_6
URL https://www.springer.com/gp/book/9789811538513
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 12-08-2020, MonographChapterAuthor
Publication indicators Scopus Citations = 0
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