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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, Mahtab; Saeidi, Soheila; Avleen, Mahli; Evangelos I., Kaisar; Bauk, Sanja; 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