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Modeling and Simulation of Pedestrian Movement Planning Around Corners
Owing to the complexity of behavioral dynamics and mechanisms associated with turning maneuvers, capturing pedestrian movements around corners in a mathematical model is a challenging task. In this study, minimum jerk and one-thirds power law concepts, which have been initially applied in neurosciences and brain research domains, were utilized in combination to model pedestrian movement planning around bends. Simulation outputs explained that the proposed model could realistically represent the behavioral characteristics of pedestrians walking through bends. Comparison of modeled trajectories with empirical data demonstrated that the accuracy of the model could further be improved by using appropriate parameters in the one-thirds power law equation. Sensitivity analysis explained that, although the paths were not sensitive to the boundary conditions, speed and acceleration profiles could be remarkably varied depending on boundary conditions. Further, the applicability of the proposed model to estimate trajectories of pedestrians negotiating bends under different entry, intermediate, and exit conditions was also identified. The proposed model can be applied in microscopic simulation platforms, virtual reality, and driving simulator applications to provide realistic and accurate maneuvers around corners.
Modeling and Simulation of Pedestrian Movement Planning Around Corners
Owing to the complexity of behavioral dynamics and mechanisms associated with turning maneuvers, capturing pedestrian movements around corners in a mathematical model is a challenging task. In this study, minimum jerk and one-thirds power law concepts, which have been initially applied in neurosciences and brain research domains, were utilized in combination to model pedestrian movement planning around bends. Simulation outputs explained that the proposed model could realistically represent the behavioral characteristics of pedestrians walking through bends. Comparison of modeled trajectories with empirical data demonstrated that the accuracy of the model could further be improved by using appropriate parameters in the one-thirds power law equation. Sensitivity analysis explained that, although the paths were not sensitive to the boundary conditions, speed and acceleration profiles could be remarkably varied depending on boundary conditions. Further, the applicability of the proposed model to estimate trajectories of pedestrians negotiating bends under different entry, intermediate, and exit conditions was also identified. The proposed model can be applied in microscopic simulation platforms, virtual reality, and driving simulator applications to provide realistic and accurate maneuvers around corners.
Modeling and Simulation of Pedestrian Movement Planning Around Corners
Charitha Dias (Autor:in) / Muhammad Abdullah (Autor:in) / Majid Sarvi (Autor:in) / Ruggiero Lovreglio (Autor:in) / Wael Alhajyaseen (Autor:in)
2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
pedestrian movement planning , turning maneuvers , pedestrian behavior modeling , pedestrian simulation , minimum-jerk concept , one-thirds power law concept , optimal trajectories , Environmental effects of industries and plants , TD194-195 , Renewable energy sources , TJ807-830 , Environmental sciences , GE1-350
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Planning for Pedestrian Movement at Interchanges
NTIS | 1974
|Theme issue: Pedestrian modeling - Self-organizing pedestrian movement
Online Contents | 2001
|Technical: Accommodating Movement at Corners
British Library Online Contents | 2017
Guiding Crystallization around Bends and Sharp Corners
British Library Online Contents | 2012
|TIBKAT | 2020
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