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Titlebook: Downtown Dynamics; Toshiyuki Kaneda Book 2020 Springer Japan KK, part of Springer Nature 2020 Downtown Dynamics.Gaming Simulation.Intellig

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樓主: Coenzyme
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發(fā)表于 2025-3-28 15:58:42 | 只看該作者
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發(fā)表于 2025-3-28 22:08:09 | 只看該作者
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發(fā)表于 2025-3-28 23:31:25 | 只看該作者
Issues in Visualizing Large Databasesle tend to opt for the Longest “Line-Of-Sight” (LLOS) direction. Next, in addition to the LLOS principle, we explain the pedestrian-agent model, which has an OD (Origin-Destination)-tuple in the public square as well as an exit rule. The Toyama Grand Plaza, which is a rectangular square, is examined
44#
發(fā)表于 2025-3-29 03:29:32 | 只看該作者
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發(fā)表于 2025-3-29 10:53:29 | 只看該作者
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發(fā)表于 2025-3-29 15:00:24 | 只看該作者
The Potential of Vision-Driven Agent Simulation: The VD-Walkerovement” concepts, which EVA incorporates. Second, authors describe the algorithm of the current version of the VD-Walker and its basic functions, and several simulation examples are shown. To conclude, Gibson’s suggestive affordance theory will be used to create a new model in UNITY’s 3D environmen
47#
發(fā)表于 2025-3-29 17:27:24 | 只看該作者
Applying Vision-Driven Agent to Simulate Pedestrian Trajectory Under Furniture Layouts in Public Squle tend to opt for the Longest “Line-Of-Sight” (LLOS) direction. Next, in addition to the LLOS principle, we explain the pedestrian-agent model, which has an OD (Origin-Destination)-tuple in the public square as well as an exit rule. The Toyama Grand Plaza, which is a rectangular square, is examined
48#
發(fā)表于 2025-3-29 22:43:54 | 只看該作者
Wayfinding Simulation of Sign Layout in a Public Square by a Vision-Driven Pedestrian Agent in a Vir simulations can be used as a tool to support sign planning. Not only in the square but also in the other mid-scale urban spaces, this kind of agent simulations can be effective approach for both theory and practice.
49#
發(fā)表于 2025-3-30 01:41:16 | 只看該作者
50#
發(fā)表于 2025-3-30 04:11:15 | 只看該作者
Analyses on Transition Factors of Shop Tenants Inside Osu Shopping Districtcts they sell. This chapter looks at a 2013 survey centered on shop-around behaviors and the configuration of shops in the district and compares it with an earlier one conducted in 2008. By analyzing the changes across the two surveys, a dynamic model of factors behind those changes emerges, illustr
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