Dottorato in Urban And Regional Development , 36o ciclo (2020-2023)
Dottorato concluso nel 2024
Tesi:
ICT in Public Transport: Exploring the Potential of IoT and Machine Learning in the context of Automatic Passenger Counting Systems. (Abstract)
Tutori:
Cristina PronelloDidattica
Insegnamenti
Corso di laurea magistrale
- Challenge@PoliTo by Firms - KPIs for Green Mobility Services. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Challenge@PoliTo by Firms - Stellantis. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Pronello, Cristina; Anbarasan, Deepan; Spoturno, Felipe; Terzolo, Giulia (2024)
A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning. In: PUBLIC TRANSPORT. ISSN 1613-7159
Contributo su Rivista - Pronello, Cristina; Baratti, Luca; Anbarasan, Deepan (2024)
Benchmarking the Functional, Technical, and Business Characteristics of Automated Passenger Counting Products. In: SMART CITIES, vol. 7, pp. 302-324. ISSN 2624-6511
Contributo su Rivista - Anbarasan, Deepan (2024)
ICT in Public Transport: Exploring the Potential of IoT and Machine Learning in the context of Automatic Passenger Counting Systems.. relatore: PRONELLO, CRISTINA; , 36. XXXVI Ciclo, P.: 161
Doctoral Thesis