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：本文介绍了OpenStreetMap出行需求生成器（OMOD），一款新型开源基于活动的出行需求生成工具。OMOD能够生成代理人口及其详细的日常活动日程表，其中规定了每个代理计划进行的活动类型、地点及持续时间。输出结果的时间维度完全离散化，空间维度则精确至单个建筑级别。与其他现有模型相比，OMOD免费开源、开箱即用，可应用于全球任何区域，且仅需用户提供免费可用的OpenStreetMap（OSM）数据。借助OMOD，非专业人士也能轻松创建具有现实意义的出行需求，这些需求可应用于交通研究、能源系统建模、通信系统研究等领域。OMOD采用数据驱动方法生成出行需求，并通过家庭出行调查数据进行了校准。本文描述了OMOD的架构，并针对人口从20万到250万不等的三个城市验证了模型的有效性。