Name
Abstract | ||
|---|---|---|
The self-adaptive systems have been proposed by researchers as one of the approaches to manage the complexity of the software. The traffic routing is an example of complex software which can be modeled as a multi-agent system. The traffic routing often raises several problems that require a solution to tackle the uncertainties. Road closure, failures in systems, and destination changes are a few illustrations for problems in traffic routing. In this paper, we present the problems occurred in traffic routing related to priority vehicle. We define the problem with a number of scenarios which express the uncertainties during the run-time. Then, we propose our adaptation plan policy to address the issues occurred during the experiments. We show that the approach has a guarantee that the priority vehicle satisfied its primary goals while maintaining the other objectives of its traffic routing mechanisms. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICAIIC48513.2020.9065242 | 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | DocType | ISBN |
self-adaptive,traffic routing,adaptation plan,priority vehicle | Conference | 978-1-7281-4986-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krishna Priawan Hardinda | 1 | 0 | 0.34 |
| Yuichi Sei | 2 | 1 | 2.37 |
| Yasuyuki Tahara | 3 | 163 | 49.16 |
| Akihiko Ohsuga | 4 | 283 | 73.35 |