Smart Mobility Application: Improving public transportation operations using artificial intelligence.
En cours de chargement...
Date
2024
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Faculty of science
Résumé
The spread of urbanization and the increase in population density in urban areas have highlighted
the importance of public transportation systems. With the growing population in cities,
the demand for public transportation options that are easy and efficient has also increased. However,
traditional public transportation services often fail to meet the dynamic needs of contemporary
passengers, who require accurate and timely information for their daily commutes to
avoid unnecessary time and effort.
Therefore, the development of an advanced application that enables users to access public
transportation services easily and seamlessly without the need for inquiries or manual assistance
is crucial.
This master’s thesis focuses on creating an application that facilitates urban transportation
and mobility without the need for inquiries or assistance from others, utilizing artificial intelligence
and reinforcement learning techniques.