In this paper, we introduce the OpenStreetMap Mobility Demand Generator (OMOD), a new open-source activity-based mobility demand generation tool. OMOD creates a population of agents and detailed daily activity schedules that state what activities each agent plans to conduct, where, and for how long. The temporal aspect of the output is wholly disaggregated, while the spatial aspect is given on the level of individual buildings. In contrast to other existing models, OMOD is freely available, open-source, works out-of-the-box, can be applied to any region on earth, and only requires freely available OpenStreetMap (OSM) data from the user. With OMOD, it is easy for non-experts to create realistic mobility demand, which can be used in transportation studies, energy system modeling, communications system research, et cetera. OMOD uses a data-driven approach to generate mobility demand that has been calibrated with household travel survey data. This paper describes OMOD's architecture and validates the model for three cities ranging from 200,000 to 2.5 million inhabitants.

翻译：摘要：本文介绍了OpenStreetMap出行需求生成器（OMOD），一种新型开源基于活动的出行需求生成工具。OMOD可生成智能体群体及其详细的日常活动时间表，明确每个智能体计划执行的活动类型、地点及持续时间。其输出结果在时间尺度上完全离散化，空间尺度则精确至独立建筑物层面。与现有其他模型不同，OMOD完全免费开源、开箱即用、可应用于全球任何区域，且用户仅需提供公开可获取的OpenStreetMap（OSM）数据。借助OMOD，非专业人员亦可轻松创建可用于交通研究、能源系统建模、通信系统研究等领域的真实出行需求。OMOD采用数据驱动方法生成出行需求，并已通过家庭出行调查数据完成校准。本文阐述了OMOD的架构，并对其在人口规模20万至250万的三座城市中进行了模型验证。