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MEILI: A travel diary collection, annotation and automation system

机译：MEILI：旅行日记收集，注释和自动化系统

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摘要

The increased interest in the automation of travel diary collection, together with the ease of access to new artificial intelligence methods led scientists to explore the prerequisites to the automatic generation of travel diaries. One of the most promising methods for this automation relies on collecting GPS traces of multiple users over a period of time, followed by asking the users to annotate their collected data by specifying the base entities for a travel diary, i.e., trips and triplegs. This led scientist on one of two paths: either develop an in-house solution for data collection and annotation, which is usually an undocumented prototype implementation limited to few users, or contract an external provider for the development, which results in additional costs. This paper provides a third path: an open-source highly modular system for the collection and annotation of travel diaries of multiple users, named MEILI. The paper discusses the architecture of MEILI with an emphasis on the data model, which allows scientists to implement and evaluate their methods of choice for the detection of the following entities: trip start/end, trip destination, trip purpose, tripleg start/end, and tripleg mode. Furthermore, the open source nature of MEILI allows scientists to modify the MEILI solution in compliance with their legal and ethical specifications. MEILI was successfully trialed in multiple case studies in Stockholm and Gothenburg, Sweden between 2014 and 2017.
机译：人们对旅行日记收集自动化的兴趣日益浓厚，并且易于获得新的人工智能方法，这促使科学家们探索了自动生成旅行日记的前提条件。这种自动化最有前途的方法之一是在一段时间内收集多个用户的GPS轨迹，然后要求用户通过指定旅行日记的基本实体（即旅行和三胞胎）来注释其收集的数据。这位带头的科学家采用了以下两种方法之一：开发用于数据收集和注释的内部解决方案（通常是仅限于少数用户的无文档原型实现），或者与开发的外部提供商签订合同，从而导致额外的成本。本文提供了第三条路径：一个名为MEILI的开源高度模块化的系统，用于收集和注释多个用户的旅行日记。本文以数据模型为重点讨论了MEILI的体系结构，该模型使科学家能够实施和评估他们选择的检测以下实体的方法：行程开始/结束，行程目的地，行程目的，三重开始/结束，和三重模式。此外，MEILI的开源特性使科学家可以根据其法律和道德规范修改MEILI解决方案。 2014年至2017年之间，MEILI已在斯德哥尔摩和瑞典哥德堡的多个案例研究中成功试用。

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