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 | |
| Pages | 81-93 |
| Publication size in sheets | 0.6 |
| 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 English | Agents, Traffic, Traffic jam, Agent-based, Agent system, JADE, Java |
| DOI | DOI:10.1007/978-981-15-3852-0_6 |
| URL | https://www.springer.com/gp/book/9789811538513 |
| Language | en angielski |
| Score (nominal) | 20 |
| Score source | publisherList |
| Score | = 20.0, 12-08-2020, MonographChapterAuthor |
| Publication indicators | = 0 |
| Citation count* |
Share
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back
