论文标题
打算等待：朝着建模现实的人行横道行为
Intend-Wait-Cross: Towards Modeling Realistic Pedestrian Crossing Behavior
论文作者
论文摘要
在本文中，我们提出了一个基于微观代理的行人行为模型打算等待。该模型由代表行人行为的规则组成，是一系列取决于其个人特征（例如人口统计学，步行速度，法律服从）和环境条件（例如，交通流量，道路结构）的一系列决策。该模型的主要重点是生成逼真的跨界决策模型，该模型结合了对上下文，车辆动力学和感知噪声的改进的计算（TTC）计算。 我们的模型会产生在高度可配置的环境中作用的各种代理商。所有模型组成部分，包括行人的个人特征，他们做出的决策类型以及环境因素，都是由对行人交通行为的研究进行的。使用自然主义驱动数据和文献估算的组合对模型参数进行校准，以最大程度地提高模拟行为的现实主义。许多实验验证了模型的各个方面，例如行人交叉模式和行人的个人特征。
In this paper, we present a microscopic agent-based pedestrian behavior model Intend-Wait-Cross. The model is comprised of rules representing behaviors of pedestrians as a series of decisions that depend on their individual characteristics (e.g. demographics, walking speed, law obedience) and environmental conditions (e.g. traffic flow, road structure). The model's main focus is on generating realistic crossing decision-model, which incorporates an improved formulation of time-to-collision (TTC) computation accounting for context, vehicle dynamics, and perceptual noise. Our model generates a diverse population of agents acting in a highly configurable environment. All model components, including individual characteristics of pedestrians, types of decisions they make, and environmental factors, are motivated by studies on pedestrian traffic behavior. Model parameters are calibrated using a combination of naturalistic driving data and estimates from the literature to maximize the realism of the simulated behaviors. A number of experiments validate various aspects of the model, such as pedestrian crossing patterns, and individual characteristics of pedestrians.
