{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T01:35:25Z","timestamp":1761788125548,"version":"3.37.3"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60970125","61202207","61210005"],"award-info":[{"award-number":["60970125","61202207","61210005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60970125","61202207","61210005"],"award-info":[{"award-number":["60970125","61202207","61210005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60970125","61202207","61210005"],"award-info":[{"award-number":["60970125","61202207","61210005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Computer Games Technology"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>We present a novel model called A<jats:sup>2<\/jats:sup>R\u2014\u201cAdaptive-AR\u201d\u2014based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers' behavior and effectiveness. In order to simulate real-life traffic flows, we extend the model with a few factors, which include the effectiveness of drivers' prediction, drivers' reaction time, and drivers' types. We demonstrate that our A<jats:sup>2<\/jats:sup>R model is effective and the results of the experiments agree well with experience in real world. It has been shown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw and Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.<\/jats:p>","DOI":"10.1155\/2013\/904154","type":"journal-article","created":{"date-parts":[[2013,9,26]],"date-time":"2013-09-26T17:12:34Z","timestamp":1380215554000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Adaptive-AR Model with Drivers\u2019 Prediction for Traffic Simulation"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0959-408X","authenticated-orcid":true,"given":"Xuequan","family":"Lu","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou 310027, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingliang","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Hangzhou 310027, Zhejiang, 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