{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:41:13Z","timestamp":1777902073621,"version":"3.51.4"},"reference-count":32,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2004,2,1]],"date-time":"2004-02-01T00:00:00Z","timestamp":1075593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2004,2]]},"abstract":"<jats:p>This article presents a hierarchical and modular traffic simulation environment for intelligent transportation systems (ITS). A conventional traffic simulation model is classified as microscopic or macroscopic; however, abstraction-level, vehicle-level, cell-level, road-level, and street-level traffic models can be coherently integrated and developed. Such an abstraction process is important for flexible traffic analysis since it reduces the complexity of a model, retaining its validity relative to the modeling objectives and experimental condition. To do this, the authors have proposed the four-layered approach: (1) system entity structure\/model base, (2) model abstraction, (3) traffic modeling, and (4) ITS simulation systems layer. A proposed methodology has been successfully applied for building the advanced traveler information system and the advanced traffic management system. The abstraction method of a road network in traffic modeling and simulation will be widely used because it is possible to express and analyze various requirements of the traffic analyst hierarchically and structurally.<\/jats:p>","DOI":"10.1177\/0037549704042860","type":"journal-article","created":{"date-parts":[[2004,5,27]],"date-time":"2004-05-27T22:29:13Z","timestamp":1085696953000},"page":"61-76","source":"Crossref","is-referenced-by-count":16,"title":["Hierarchical Modeling and Simulation Environment for Intelligent                Transportation Systems"],"prefix":"10.1177","volume":"80","author":[{"given":"Jong-Keun","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye-Hwan","family":"Lim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Do","family":"Chi","sequence":"additional","affiliation":[{"name":"Intelligent Systems Research Laboratory Department of Computer                        Engineering Hangkong University Koyang-si, Hwajeon-dong 200-1, Seoul                        411-791, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2004,2,1]]},"reference":[{"key":"atypb1","unstructured":"[1] Yang, Q. 1997. 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Paper presented at the 2001 Autumn Conference of Korea Society of Transportation, November."}],"container-title":["SIMULATION"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549704042860","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549704042860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:18:29Z","timestamp":1777634309000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0037549704042860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,2]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2004,2]]}},"alternative-id":["10.1177\/0037549704042860"],"URL":"https:\/\/doi.org\/10.1177\/0037549704042860","relation":{},"ISSN":["0037-5497","1741-3133"],"issn-type":[{"value":"0037-5497","type":"print"},{"value":"1741-3133","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,2]]}}}