täiskirje prindi

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

autor
Shahin, Mahtab
Saeidi, Soheila
Mahli, Avleen
Kaisar, Evangelos I.
Bauk, Sanja
Soe, Ralf-Martin
vastutusandmed
Mahtab Shahin, Soheila Saeidi, Avleen Malhi, Evangelos I. Kaisar, Sanja Bauk & Ralf Martin Soe
allikas
Future Data and Security Engineering (FDSE 2025) : proceedings, Part I
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 311-324
seeria-sari
Communications in Computer and Information Science ; 2708
konverentsi nimetus, aeg
12th International Conference, FDSE 2025, November 27–29, 2025
konverentsi toimumispaik
Ho Chi Minh City, Vietnam
leitav
ISSN
1865-0929
ISBN
978-981-95-4720-3
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
Inglise
märksõna
võtmesõna
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