A deep pedestrian trajectory generator for complex indoor environments

IF 2.1 3区 地球科学 Q2 GEOGRAPHY
Zhenxuan He, Tong Zhang, Wangshu Wang, Jing Li
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引用次数: 0

Abstract

Pedestrian trajectory data, which can be used to mine pedestrian motion patterns or to model pedestrian dynamics, is crucial for indoor location-based service studies and applications. However, researchers are faced with the challenges of data shortage and privacy restrictions when using pedestrian trajectory data. We present an Indoor Pedestrian Trajectory Generator (IPTG), which is a novel deep learning model to synthesize pedestrian trajectory data. IPTG first produces feature sequences that encode the spatial–temporal and semantic features of the walking process and then interpolates them into complete trajectories using A* and perturbation algorithms. IPTG has specially designed loss functions that preserve topological constraints and semantic characteristics. Incorporating the prior knowledge of environment constraints and pedestrian walking patterns, the IPTG model is capable of generating topologically and logically sound indoor pedestrian trajectories. We evaluated the synthesized trajectories based on multiple metrics and examined the generated trajectories qualitatively. The results show that IPTG outperforms several baselines, demonstrating its ability to generate semantically meaningful and spatiotemporally coherent trajectories.
适用于复杂室内环境的深度行人轨迹生成器
行人轨迹数据可用于挖掘行人运动模式或建立行人动态模型,对室内定位服务研究和应用至关重要。然而,研究人员在使用行人轨迹数据时面临着数据短缺和隐私限制的挑战。我们提出了一种室内行人轨迹生成器(IPTG),它是一种合成行人轨迹数据的新型深度学习模型。IPTG 首先生成编码步行过程时空和语义特征的特征序列,然后使用 A* 和扰动算法将其插值为完整的轨迹。IPTG 具有专门设计的损失函数,可保留拓扑约束和语义特征。结合环境约束和行人行走模式的先验知识,IPTG 模型能够生成拓扑和逻辑上合理的室内行人轨迹。我们根据多个指标对合成的轨迹进行了评估,并对生成的轨迹进行了定性检查。结果表明,IPTG 的性能优于几种基线模型,证明了它有能力生成具有语义意义和时空一致性的轨迹。
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来源期刊
Transactions in GIS
Transactions in GIS GEOGRAPHY-
CiteScore
4.60
自引率
8.30%
发文量
116
期刊介绍: Transactions in GIS is an international journal which provides a forum for high quality, original research articles, review articles, short notes and book reviews that focus on: - practical and theoretical issues influencing the development of GIS - the collection, analysis, modelling, interpretation and display of spatial data within GIS - the connections between GIS and related technologies - new GIS applications which help to solve problems affecting the natural or built environments, or business
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