Prediction of sustainable urban mobility through interface Web

: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.