[KDD] City Metro Network Expansion with Reinforcement Learning

https://dl.acm.org/doi/10.1145/3394486.3403315

City Metro Network Expansion with Reinforcement Learning | Proceedings of the 26th ACM SIGKDD International Conference on Knowle

ABSTRACT City metro network expansion, included in the transportation network design, aims to design new lines based on the existing metro network. Existing methods in the field of transportation network design either (i) can hardly formulate this problem

dl.acm.org

City Metro network를 어떻게 구축할지 설계했다.

저작자표시

'Paper Review' 카테고리의 다른 글

Spatio-temporal knowledge transfer for urban crowd flow prediction via deep attentive adaptation networks. (0)	2022.10.31
[SIGSPATIAL] OSM Ski Resort Routing (0)	2022.09.05
From Twitter to traffic predictor: Next-day morning traffic prediction using social media data (0)	2022.06.02
Hierarchical Graph Convolution Network for Traffic Forecasting (AAAI-21) (0)	2022.01.17
Fine-grained Urban Flow Prediction (WWW'21) (0)	2022.01.11

CS DataStudio

[KDD] City Metro Network Expansion with Reinforcement Learning

'Paper Review' 카테고리의 다른 글

댓글

티스토리툴바

[KDD] City Metro Network Expansion with Reinforcement Learning

'Paper Review' 카테고리의 다른 글

관련글

댓글

티스토리툴바