Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction.

Huy Quang Ung|Yutaro Mishima|Hao Niu|Shinya Wada


Anthology ID:DBLP:conf/icdar2/UngMNW23
Volume:Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023
Year:2023
Venue:ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR)
Publisher:ACM
Pages:19-23
URL:https://doi.org/10.1145/3592571.3592969
DOI:https://doi.org/10.1145/3592571.3592969
DBLP:conf/icdar2/UngMNW23
BibTeX:
@inproceedings{ung-2023-towards, author = {Huy Quang Ung and Yutaro Mishima and Hao Niu and Shinya Wada}, editor = {Guillaume Habault and Minh-Son Dao and Michael Riegler and Duc-Tien Dang-Nguyen and Yuta Nakashima and Cathal Gurrin}, title = {{Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction}}, booktitle = {{Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023}}, pages = {19--23}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3592571.3592969}, doi = {https://doi.org/10.1145/3592571.3592969} }