Optimising Dynamic Traffic Distribution for Urban Networks with Answer Set Programming
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916573499883520 |
|---|---|
| author | Cardellini, Matteo Dodaro, Carmine Maratea, Marco Vallati, Mauro |
| author_facet | Cardellini, Matteo Dodaro, Carmine Maratea, Marco Vallati, Mauro |
| contents | Answer Set Programming (ASP) has demonstrated its potential as an effective tool for concisely representing and reasoning about real-world problems. In this paper, we present an application in which ASP has been successfully used in the context of dynamic traffic distribution for urban networks, within a more general framework devised for solving such a real-world problem. In particular, ASP has been employed for the computation of the "optimal" routes for all the vehicles in the network. We also provide an empirical analysis of the performance of the whole framework, and of its part in which ASP is employed, on two European urban areas, which shows the viability of the framework and the contribution ASP can give. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07521 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimising Dynamic Traffic Distribution for Urban Networks with Answer Set Programming Cardellini, Matteo Dodaro, Carmine Maratea, Marco Vallati, Mauro Artificial Intelligence Logic in Computer Science Answer Set Programming (ASP) has demonstrated its potential as an effective tool for concisely representing and reasoning about real-world problems. In this paper, we present an application in which ASP has been successfully used in the context of dynamic traffic distribution for urban networks, within a more general framework devised for solving such a real-world problem. In particular, ASP has been employed for the computation of the "optimal" routes for all the vehicles in the network. We also provide an empirical analysis of the performance of the whole framework, and of its part in which ASP is employed, on two European urban areas, which shows the viability of the framework and the contribution ASP can give. |
| title | Optimising Dynamic Traffic Distribution for Urban Networks with Answer Set Programming |
| topic | Artificial Intelligence Logic in Computer Science |
| url | https://arxiv.org/abs/2408.07521 |