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}
}