Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning

no code implementations • 11 Feb 2024 • Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma

In this paper, we for the first time propose the task of Open-domain Urban Itinerary Planning (OUIP) for citywalk, which directly generates itineraries based on users' requests described in natural language.

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities

1 code implementation • 8 Feb 2022 • Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, S. C. Wong, Wei Ma

To the best of our knowledge, we are the first to employ adversarial multi-domain adaptation for network-wide traffic forecasting problems.

Domain Adaptation Graph Mining +6

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

no code implementations • 4 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 implementation • 1 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 implementation • 25 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