03990nam a22005415i 4500 978-981-97-3597-6 DE-He213 20251030112654.0 cr nn 008mamaa 240727s2024 si | s |||| 0|eng d 9789819735976 978-981-97-3597-6 10.1007/978-981-97-3597-6 doi TA1001-1280 HE331-380 TNH bicssc TEC009140 bisacsh TNH thema Qi, HongSheng. author. aut http://id.loc.gov/vocabulary/relators/aut 81410 Stochastic Two-Dimensional Microscopic Traffic Model [electronic resource] : Theory and Applications / by HongSheng Qi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXII, 376 p. 221 illus., 212 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459 Noise reduction filtering and behavioral estimation for human driven vehicles -- Predictability analysis of driving behavior -- Two dimensional stochastic microscopic traffic model for human driven vehicles -- Two dimensional driving behavioral model considering vehicle dynamics -- Stochastic two dimensional microscopic driving model for intelligent vehicles -- Risky driving behavior with two dimensional jerk and wandering -- Capacity adjustment factor considering lateral influence for multi lane road -- Real time estimation of driving behaviors -- Stochastic lateral wandering of progressive autonomous vehicles flow -- Test scenario generation for autonomous vehicles considering the predictability. Microscopic traffic model serves as the foundation of traffic flow theory and is the basis for applications such as traffic simulation, autonomous vehicle simulation, and digital twin technology. Conventional traffic models have primarily focused on the longitudinal dimension and have been deterministic in nature. However, vehicles' movements involve both longitudinal and lateral dimensions, and their dynamics are inherently stochastic. Therefore, a two-dimensional treatment is essential. This book explores the theory and application of stochastic two-dimensional microscopic traffic models, including the development of theory, establishment of methods, and applications to autonomous vehicles. The book is organized into three sections: data, theory, and application. In the data section, various open-source trajectory data are analyzed and noise reduction techniques are discussed. In the theory 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 fields of vehicle engineering and traffic technology. Transportation engineering. 65686 Traffic engineering. 65687 Vehicles. 66337 Transportation Technology and Traffic Engineering. 65691 Vehicle Engineering. 66340 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819735969 Printed edition: 9789819735983 Printed edition: 9789819735990 Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459 71072 https://doi.org/10.1007/978-981-97-3597-6 ZDB-2-ENG ZDB-2-SXE 61982 61982