We have developed a system that enables prediction of congestion and tram arrival times in public transport. Passenger data is collected through crowdsourcing, where BLE beacons placed on stations and tram cars are detected by passenger mobile phones. Several regression models were evaluated and deployed as a web service to facilitate the previously described use cases. The research was conducted with a control group of researchers in the role of passengers, and not with the use of data from real passengers, and the privacy of passengers was not compromised in any way.
Project: Researching beacons for the purpose of movement network creation – Urban mobility platform development
Bajer, D., Zorić, B., Dudjak, M., & Martinović, G. (2020). Benchmarking bio-inspired computation algorithms as wrappers for feature selection. Acta Electrotechnica et Informatica, 20(2), 35-43. https://doi.org/10.15546/aeei-2020-0011
Bajer, D., Zorić, B., Dudjak, M., & Martinović, G. (2019). Evaluation and analysis of bio-inspired optimization algorithms for feature selection. In W. Steingartner, Š. Korečko, A. Szakal (Eds.), Informatics 2019 Proceedings (pp. 18-25). Košice. https://doi.org/10.1109/informatics47936.2019.9119256
Zorić, B., Dudjak, M., Bajer, D., & Martinović, G. (2019). Design and development of a smart attendance management system with Bluetooth low energy beacons. 2019 Zooming Innovation in Consumer Technologies Conference (ZINC) (pp.86-91). Novi Sad. https://doi.org/10.1109/zinc.2019.8769433
Project: Researching beacons for the purpose of movement network creation – Urban mobility platform development
