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- W2428481378 abstract "Due to the homogeneity of cellular and the simplicity of algorithm, traditional CA modeling use common randomization probability to describe behaviors of velocity randomization, which is difficult to reflect the factors on velocity randomization completely. In this paper, we decompose factors of velocity randomization in “ideal model” and “participant characteristic model”, integrate those factors and create the mechanism of personalized randomization in “Multi-Agent interaction model”. Integrity of the simulation on behaviors of velocity randomization is enhanced effectively by introducing the mechanism we create. For individual traffic participants, behaviors of velocity randomization are no longer explained by a simple, abstract randomization probability, but decided by its unique personalized velocity randomization mechanism. While for the entire transportation system, differences between the individual participants lead to different personalized velocity randomization mechanism." @default.
- W2428481378 created "2016-06-24" @default.
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- W2428481378 date "2014-01-01" @default.
- W2428481378 modified "2023-09-23" @default.
- W2428481378 title "Personalized Mechanism of Randomization Based on Multi-Agent Technology" @default.
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