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Smart city bus: flexibletransport.AI Front end
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Orientador(es)
Resumo(s)
Within the scope of the SMART CITY BUS: FLEXIBLE TRANSPORT. AI FRONT-END project, developed in the company Card4B – Systems, S. A. the present document was written to report the results and conclusions of said project in the context of the discipline of Computer Engineering Dissertation/Project Report of the 2nd year of MSc in Computer Engineering from the School of Sciences of the University of Lisbon. This project is directly related to public transportation services management and improvement regarding its flexibility and is focused in the front-end (Android) component of the system. Nowadays, the public transportation services are almost exclusively divided in two main categories: regular collective services with predefined routes and schedule and on-demand services (such as UBER). Any additional flexibility in these services is reflected in its price, which inevitably alienates a big volume of the population. The main idea is to build a system to manage these services in a more dynamic way by getting information regarding people’s movement patterns in the city. This system is to be integrated in a public transportation management platform. The driver mobile application is part of one of those systems. This android component is supposed to be used by the bus drivers to open and close their service – which can be either a predefined service or not – and ultimately sell, charge and validate transport titles with a certain contract/tariff, depending on their current location. The communication between the mobile app and the other elements of the system is indispensable to gurantee the reflection of the data collected by the services, shifts and sales performed in the application in the overall recommendation system. In the end, all the elements implemented and optimized along this project proved to be an asset for the entire system by improving the performance and stability of the Android front-end component.
Descrição
Trabalho de projecto de mestrado, Engenharia Informática (Engenharia de Software) Universidade de Lisboa, Faculdade de Ciências, 2019
Palavras-chave
Public transport PCL Mobility Recommendation system Android Trabalhos de projecto de mestrado - 2019