A Survey of Generative AI for Intelligent Transportation Systems

H Yan, Y Li - arxiv preprint arxiv:2312.08248, 2023 - arxiv.org
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

Overcoming forgetting in fine-grained urban flow inference via adaptive knowledge replay

H Yu, X Xu, T Zhong, F Zhou - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Fine-grained urban flow inference (FUFI) problem aims at inferring the high-resolution flow
maps from the coarse-grained ones, which plays an important role in sustainable and …

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference

X Xu, Z Wang, Q Gao, T Zhong, B Hui… - … Transactions on Big …, 2023 - ieeexplore.ieee.org
Fine-grained urban flow inference (FUFI) problem aims to infer the fine-grained flow maps
from coarse-grained ones, benefiting various smart-city applications by reducing electricity …

Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference

X Xu, T Zhong, H Yu, F Zhou, G Trajcevski - ACM Transactions on …, 2024 - dl.acm.org
Citywide fine-grained urban flow inference (FUFI) problem aims to infer the high-resolution
flow maps from the coarse-grained ones, which plays an important role in sustainable and …

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning

S Yuan, D Li, W Liu, X Zhang, M Chen, J Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Fine-grained urban flow inference (FUFI) is a crucial transportation service aimed at
improving traffic efficiency and safety. FUFI can infer fine-grained urban traffic flows based …