Urban Walkability Design Using Virtual Population Simulation
Urban Walkability Design Using Virtual Population Simulation
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DOI：
10.1111/cgf.13585
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发表时间：
2018-10
影响因子：
2.5
通讯作者：
C. Mathew;P. Knob;S. Musse;Daniel G. Aliaga
中科院分区：
文献类型：
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作者：
C. Mathew;P. Knob;S. Musse;Daniel G. Aliaga
我们提出了一个系统来生成一个程序化的环境，产生所需的人群行为。我们不是改变群体本身的行为参数，而是自动改变环境，以产生这种期望的群体行为。这种新的逆方法是有用的人群在虚拟环境中的模拟和城市人群规划的应用。我们的方法紧密集成和扩展的空间离散人群模拟器与逆程序建模。我们通过目标探索（即代理最初不知道目标位置），可变吸引力标志的使用和几个加速方案来扩展人群模拟。我们使用马尔可夫链蒙特卡罗快速探索的解决方案空间，并产生交互式设计。我们已经将我们的方法应用于各种虚拟和真实的世界的位置，产生了一个数量级的速度比相关方法的人群模拟性能和几倍的人群指标的改善。
We present a system to generate a procedural environment that produces a desired crowd behaviour. Instead of altering the behavioural parameters of the crowd itself, we automatically alter the environment to yield such desired crowd behaviour. This novel inverse approach is useful both to crowd simulation in virtual environments and to urban crowd planning applications. Our approach tightly integrates and extends a space discretization crowd simulator with inverse procedural modelling. We extend crowd simulation by goal exploration (i.e. agents are initially unaware of the goal locations), variable‐appealing sign usage and several acceleration schemes. We use Markov chain Monte Carlo to quickly explore the solution space and yield interactive design. We have applied our method to a variety of virtual and real‐world locations, yielding one order of magnitude faster crowd simulation performance over related methods and several fold improvement of crowd indicators.