We present a novel model called A2Rââ?¬â?ââ?¬Å?Adaptive-ARââ?¬Âââ?¬â?based on a well-known continuum-based model called AR Aw and Rascle\r\n(2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the\r\nflows passively, without taking into account driversââ?¬â?¢ behavior and effectiveness. In order to simulate real-life traffic flows, we extend\r\nthe model with a few factors, which include the effectiveness of driversââ?¬â?¢ prediction, driversââ?¬â?¢ reaction time, and driversââ?¬â?¢ types. We\r\ndemonstrate that our A2R model is effective and the results of the experiments agree well with experience in real world. It has been\r\nshown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw\r\nand Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.
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