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

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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