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Speaking the same traffic language : a Florida – Tallinn case study in cross-city incident prediction

author
Shahin, Mahtab
Saeidi, Soheila
Mahli, Avleen
Kaisar, Evangelos I.
Bauk, Sanja
Soe, Ralf-Martin
statement of authorship
Mahtab Shahin, Soheila Saeidi, Avleen Malhi, Evangelos I. Kaisar, Sanja Bauk & Ralf Martin Soe
source
Future Data and Security Engineering (FDSE 2025) : proceedings, Part I
publisher
year of publication
pages
p. 311-324
series
Communications in Computer and Information Science ; 2708
conference name, date
12th International Conference, FDSE 2025, November 27–29, 2025
conference location
Ho Chi Minh City, Vietnam
url
ISSN
1865-0929
ISBN
978-981-95-4720-3
scientific publication
teaduspublikatsioon
TalTech department
language
English
subject term
keyword
traffic incident prediction
cross-city model transfer
data harmonization
Intelligent Transportation Systems (ITS)
machine learning (ML)
gradient boosting
LSTM networks
DATEX II
traffic message channel (TMC)
Shahin, M., Saeidi, S., Mahli, A., Kaisar, E. I., Bauk, S., Soe, R. M. Speaking the same traffic language : a Florida – Tallinn case study in cross-city incident prediction // Future Data and Security Engineering (FDSE 2025) : proceedings, Part I. : Springer, 2026. p. 311-324. (Communications in Computer and Information Science ; 2708). https://doi.org/10.1007/978-981-95-4721-0_21