{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T04:54:35Z","timestamp":1725598475959},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.5220\/0011139800003274","type":"proceedings-article","created":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T17:32:12Z","timestamp":1657992732000},"page":"210-217","source":"Crossref","is-referenced-by-count":0,"title":["Assessment of the RSS Model Suitability using Graph Neural Network based on a Naturalistic Driving Dataset"],"prefix":"10.5220","author":[{"given":"Sungmoon","family":"Ahn","sequence":"first","affiliation":[{"name":"School of Integrated Technology, Yonsei University, Incheon, 21983, Republic of Korea, --- Select a Country ---"}]},{"given":"Shiho","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Yonsei University, Incheon, 21983, Republic of Korea, --- Select a Country ---"}]}],"member":"3171","event":{"name":"12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications","start":{"date-parts":[[2022,7,14]]},"location":"Lisbon, Portugal","end":{"date-parts":[[2022,7,16]]}},"container-title":["Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications"],"original-title":["Assessment of the RSS Model Suitability using Graph Neural Network based on a Naturalistic Driving Dataset"],"deposited":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T08:22:49Z","timestamp":1658996569000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0011139800003274"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0011139800003274","relation":{},"subject":[],"published":{"date-parts":[[2022]]}}}