61 citations · 85 across the 7 of their papers we have counts for
7 papers
SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception
Ao Qu, Xuhuan Huang, Dajiang Suo
Recent advances in sensing and communication have paved the way for collective perception in traffic management, with real-time data sharing among multiple entities. While vehicle-…
Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs
Xiaotong Guo, Ao Qu, Hongmou Zhang +2
In the governance of the shared mobility market of a city or of a metropolitan area, there are two conflicting principles: 1) the healthy competition between multiple platforms, su…
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang, Ao Qu, Andy H. F. Chow +3
Accurate real-time traffic forecast is critical for intelligent transportation systems (ITS) and it serves as the cornerstone of various smart mobility applications. Though this re…
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
Ao Qu, Yihong Tang, Wei Ma
The rapid advancements of Internet of Things (IoT) and artificial intelligence (AI) have catalyzed the development of adaptive traffic signal control systems (ATCS) for smart citie…
Streaming data preprocessing via online tensor recovery for large environmental sensor networks
Yue Hu, Ao Qu, Yanbing Wang +1
Measuring the built and natural environment at a fine-grained scale is now possible with low-cost urban environmental sensor networks. However, fine-grained city-scale data analysi…
A Graph Approach to Simulate Twitter Activities with Hawkes Processes
Ao Qu, Ismael Lemhadri
The rapid growth of social media has been witnessed during recent years as a result of the prevalence of the internet. This trend brings an increasing interest in simulating social…
Graph Convolutional Networks for traffic anomaly
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. Travel…