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Prediction of sustainable urban mobility through interface Web

机译：通过接口网预测可持续城市移动性

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Technological research works that present significant statistical results and with a high degree of reliability should be constantly applied and improved, for our studies to be fundamentally feasible and able to generate reliable results. Within this context, based on research conducted by SILVA (2010), the aim is to develop a mathematical and statistical software to predict urban mobility's spatial dynamics, based on a web system, for the prediction of sustainable travel time in cities. Computerized approaches are used, centered on language and concepts gaining momentum in the area of web development, like the Java script Node.js and the database focused on MongoDB documents. In light of the awareness of the results achieved with the current development of the software, it already makes it possible to generate operational routines in accordance with the intended spatial analysis. It is in fact a practical software, easy to apply and interpret, operationally viable, able to improve compilation, tabulation, measuring, fast and efficient visualization of data and information needed for analyzing the urban mobility phenomenon.
机译：技术研究作品应持续应用显着的统计结果和高度可靠性，以便我们的研究是根本可行的，能够产生可靠的结果。在此背景下，基于Silva（2010）进行的研究，目的是开发一个数学和统计软件，以预测城市移动性的空间动力学，以便在城市中预测可持续旅行时间。使用计算机化方法，以Web开发领域获得势头的语言和概念为中心，如Java脚本Node.js和专注于MongoDB文档的数据库。鉴于通过该软件的当前发展实现的结果的认识，它已经可以根据预期的空间分析来产生操作例程。事实上，实际上是一种实用的软件，易于申请和解释，可操作地可行，能够改善分析城市移动现象所需的数据和信息的编译，列表，测量，快速和高效的可视化。

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