文章基本信息

标题：A model-sensor framework to predict homing pigeon flights in real time
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作者：Gudrun Wallentin ; Francis Oloo
期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2016
卷号：1
页码：41-52
DOI：10.1553/giscience2016_01_s41
出版社：ÖAW Verlag, Wien
摘要：Advances in sensor technology have triggered the development of model-sensor frameworks that integrate real-time sensor data into simulation models. Successful implementations include sensor streams of physical properties of the environment, and traces of human mobility as captured by mobile devices. Implementation of real-time sensor-data streams from tagged animals is not yet in place. However, these are anticipated in the near future. In this research, we explore a model-sensor framework with a novel agent-based flocking model for homing pigeons and an emulated sensor stream that is derived from a previously recorded GPS track. Results point to conceptual shortcomings but also opportunities in transferring conventional models to an integrated model-sensor framework. From these insights, directions for further research towards automatic model-calibration and adaptive rulesets were identified.
关键词：spatial simulation; real; time sensors; agent; based modelling; movement ecology