@inproceedings{5a2570af265242c387cc2f2dde9d751c,
title = "Multiagent-based dynamic deployment planning in RTLS-enabled automotive shipment yard",
abstract = "Real-time vehicle location information enables to facilitate more efficient decision-making in dynamic automotive shipment yard environment. This paper proposes a multiagent-based decentralized decision-making model for the vehicle deployment planning in a shipment yard. A multiagent architecture is designed to facilitate decentralized algorithms and coordinate different agents dynamically. The results of computational experiments show that the proposed deployment model outperforms a current deployment practice with respect to the deployment performance measures.",
author = "Jindae Kim and Changsoo Ok and Kumara, {Soundar R.T.} and Yee, {Shang Tae}",
year = "2007",
month = jan,
day = "1",
doi = "10.1007/978-3-540-72665-4_4",
language = "English (US)",
isbn = "9783540726647",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "38--49",
booktitle = "Advances in Artificial Intelligence - 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Proceedings",
address = "Germany",
note = "20th Conference of the Canadian Society for Computational Studies of Intelligence, CSCSI, Canadian AI 2007 ; Conference date: 28-05-2007 Through 30-05-2007",
}