Search Results for author: Ao Qu

Found 5 papers, 3 papers with code

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles

no code implementations4 Nov 2021 Ao Qu, Yihong Tang, Wei Ma

In view of this, this paper first time formulates a novel task in which a group of vehicles can cooperatively send falsified information to "cheat" DRL-based ATCS in order to save their total travel time.

reinforcement-learning Reinforcement Learning (RL)

Streaming data preprocessing via online tensor recovery for large environmental sensor networks

1 code implementation1 Sep 2021 Yue Hu, Ao Qu, Yanbing Wang, Dan Work

Measuring the built and natural environment at a fine-grained scale is now possible with low-cost urban environmental sensor networks.

Graph Convolutional Networks for traffic anomaly

1 code implementation25 Dec 2020 Yue Hu, Ao Qu, Dan Work

Event detection has been an important task in transportation, whose task is to detect points in time when large events disrupts a large portion of the urban traffic network.

Anomaly Detection Event Detection +1

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