Appropriate expressiveness of planning domain models: An urban traffic control case study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408249" target="_blank" >RIV/00216208:11320/19:10408249 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00338687
Result on the web
<a href="http://dx.doi.org/10.1145/3360901.3364416" target="_blank" >http://dx.doi.org/10.1145/3360901.3364416</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3360901.3364416" target="_blank" >10.1145/3360901.3364416</a>
Alternative languages
Result language
angličtina
Original language name
Appropriate expressiveness of planning domain models: An urban traffic control case study
Original language description
The level of expressiveness of planning domain models determines their accuracy in describing real-world domains as well as their efficiency in terms of performance of planners. More expressive models might be accurate but hard for planners while less expressive models might be easier for planners but not very accurate. In this paper, we consider a problem of efficient routing of vehicles in urban road networks. We propose three domain models with different level of expressiveness to address the problem. We investigate how the models differ in terms of accuracy (quality of plans they produce) and efficiency of plan generation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50803 - Information science (social aspects)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
10th International Conference on Knowledge Capture, K-CAP 2019
ISBN
978-1-4503-7008-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
247-250
Publisher name
Association for Computing Machinery
Place of publication
Marina Del Rey; United States
Event location
Marina Del Rey; United States
Event date
Nov 19, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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