Titlebook: Stochastic Two-Dimensional Microscopic Traffic Model; Theory and Applicati HongSheng Qi Book 2024 The Editor(s) (if applicable) and The Aut

amnesia

Lateral Influence on Capacity Adjustment of Lanes Number for Mixed Autonomous Vehicles,s, such as varying lane numbers and market penetration rates. The results reveal that the lateral noise, a product of the stochastic nature of the model, cannot be overlooked in capacity evaluations. This finding emphasizes the importance of considering lateral influences when evaluating capacity, p

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Stochastic Lateral Wandering Patterns of Mixed Traffic Flow,lizing the lateral control mechanisms employed by autonomous vehicles, we derive a stochastic model specifically tailored to their lateral behavior. The overall lateral distribution is obtained by weighting the combinations of vehicle types across all lanes. The results demonstrate that our proposed

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Lateral Stochasticity in Lane Changing via Logistic Diffusion Process,ng the Monte Carlo method. Two characteristic moments, namely the Cross-Lane-Mark Moment and lane changing duration, are numerically determined. The results demonstrate that the proposed model efficiently estimates lane changing decisions and accurately derives the two characteristic moments.

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有其法作用

Book 2024theory section, various two-dimensional traffic models are developed. In the application section, the potential applications of these models are discussed, including behavioral inferences and lateral wandering. This book will be a useful reference for students, researchers and engineers in the field

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Stochastic Two-Dimensional Microscopic Traffic Model978-981-97-3597-6Series ISSN 2523-3440 Series E-ISSN 2523-3459

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Lecture Notes in Intelligent Transportation and Infrastructurehttp://image.papertrans.cn/s/image/878185.jpg