Details

Autor(en) / Beteiligte

• Minea, Marius
• Dumitrescu, Catalin
• Chiva, Ionut-Cosmin

Titel

Unconventional Public Transport Anonymous Data Collection employing Artificial Intelligence

Ist Teil von

• 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2019, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2019

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• 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.