Unconventional Public Transport Anonymous Data Collection employing Artificial Intelligence

Abstract

This paper presents results of a research concerning the possibility of collecting anonymous data regarding public transport level of service, employing wireless technologies (Bluetooth and Wi-Fi), big data and statistical filtering. Machine learning algorithms are used to detect, locate, create a map and record presence of travelers in public transport vehicles and stations, along with regular traffic data. The solution could also serve as back-up system for locating vehicles on their path.