In Defence of Good Old-Fashioned Artificial Intelligence Approaches in Intelligent Transportation Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00375788" target="_blank" >RIV/68407700:21730/24:00375788 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ITSC57777.2023.10422348" target="_blank" >http://dx.doi.org/10.1109/ITSC57777.2023.10422348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITSC57777.2023.10422348" target="_blank" >10.1109/ITSC57777.2023.10422348</a>
Alternative languages
Result language
angličtina
Original language name
In Defence of Good Old-Fashioned Artificial Intelligence Approaches in Intelligent Transportation Systems
Original language description
In recent years, Artificial Intelligence (AI) has been increasingly used in traffic management and control, particularly in the smart city context. However, the vast majority of recent AI-based approaches rely on data-driven black-box models that hinder the ability to understand the behaviour and dynamics that lead to a given output. On the contrary, Good Old-Fashioned Artificial Intelligence approaches that are based on symbolic models, such as automated planning, can provide the transparency and explainability needed in realworld applications. This paper focuses on the benefits of using automated planning techniques in Intelligent Transportation Systems (ITS), with a focus on explainability. A case study is presented to demonstrate how the components of an automated planning system can support explainability, the types of explanations that can be obtained, and the way in which such explanations can be generated.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA23-05575S" target="_blank" >GA23-05575S: Urban Traffic Control by Means of Automated Planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
ISBN
979-8-3503-9946-2
ISSN
2153-0017
e-ISSN
2153-0017
Number of pages
6
Pages from-to
4913-4918
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
—
Event location
Bilbao
Event date
Sep 24, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001178996704141