Online Monitoring of Buses Information Using KNN, ATR and DMC Algorithms

In developing countries such as Brazil, it is still hard to know what time a bus will reach a bus stop. This means that a lot of people have to wait for long periods of time without knowing whether the bus is near or far away, and it raises serious problems of traffic mobility that affect millions of public transport users every day. One way out is to seek solutions based on software and artificial intelligence that can help the public when making their everyday journey. However, most of them still need to be approved by private companies or the local government. This article sets out an online monitoring strategy for bus routes on a collaborative basis, i.e., among the users, as an alternative system that does not need to be authorized by private companies of the local government. It involves adopting the K-Nearest Neighbors algorithm and creating two new algorithms called Activation of the Regressive Timer and Deactivating Collaborative Mode. The algorithms were implemented in an application called “Olha o Ônibus”, in English Tracking the Buses, and five tests were conducted to test the effectiveness of the scheme. The results showed that the algorithms are able to ensure the reliability of the information that is shared among the users.