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TRUDE - Tools for Urban Mobility Dataset Generation

机译:TRUDE-城市交通数据集生成工具

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Due to technological advances, millions of data are continuously generated during the journeys made by people daily. This data can be essential to present decision making and thus contribute to minimizing the effects of traffic congestion on people’s lives. It is vital to store that data in an organized manner so that it is processed and used efficiently. In this project, we present TRUDE, a tool for generating a dataset with data collected during users’ urban mobility, and through notifications of interventions. The tool was developed in modules that collect data on two fronts: by a web application, where users manage the data entry related to the programmed interventions for the city of Catanduva/SP, and by a mobile app that collects the user’s routes during their journeys, through their mobile devices. The results presented demonstrate that the mobile application tool consumes little memory, battery, and data of the devices during its execution. Also, due the dataset is possible showing drivers the interventions that are generated on their routes, presenting in advance another alternative to improve the flow of vehicles in the city.
机译:由于技术的进步,在人们每天的旅途中不断产生数百万个数据。这些数据对于做出决策至关重要,因此有助于最大程度地减少交通拥堵对人们生活的影响。至关重要的是,以一种有组织的方式存储该数据,以便有效地对其进行处理和使用。在这个项目中,我们介绍了TRUDE,这是一种用于生成数据集的工具,该数据集包含用户在城市出行期间收集的数据并通过干预通知来生成。该工具是在两个方面收集数据的模块中开发的:通过Web应用程序(用户在其中管理与Catanduva / SP市的编程干预有关的数据输入),以及通过移动应用程序(在旅途中收集用户的路线) ,通过他们的移动设备。给出的结果表明,移动应用程序工具在执行过程中仅消耗很少的内存,电池和设备数据。同样,由于该数据集有可能向驾驶员显示在其路线上产生的干预,因此可以提前提出另一种选择,以改善城市中的车辆流量。

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