Traffic assignment problem (TAP) is of great significance for promoting the development of
smart city and society. It usually focuses on the deterministic or predictable traffic demand …

Industry 4.0 is the fourth Industrial Revolution, transforming workplaces and factories into
smart ones with automation at various levels. The recent boom in deep learning techniques …

Image processing fields, such as separating data from healthcare images, can benefit
greatly from using deep learning algorithms. This can be extremely beneficial. For the …

In this paper, the groundwork on commuter-based travel system is studied by considering
the several existing techniques in this problem. In the present scenario, IoT plays an …

In this era of connected systems that have penetrated everywhere, transport units have
become a significant source of data, collected from commuters, vehicles, drivers, or any …

El objetivo de este trabajo es aportar reflexiones sobre algunos de los hitos que se han
planteado en la búsqueda de mejorar el transporte público urbano a través de implementar …

Public transport networks play an important role in minimising congestion and improving
environmental sustainability of developed cities. However, they face a number of challenges …

Within the coordinate reference systems discussed in the previous chapter, location can be
described. Location data is increasingly becoming available from sensors integrated in …

El objetivo de este trabajo es aportar reflexiones sobre algunos de los hitos que se han
planteado en la búsqueda de mejorar el transporte público urbano a través de implementar …