Search Results for author:
Found 5 papers, 3 papers with code
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning
Our system, deployed on an online platform, has attracted thousands of users for their urban travel planning.
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
To the best of our knowledge, we are the first to employ adversarial multi-domain adaptation for network-wide traffic forecasting problems.
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
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.
Streaming data preprocessing via online tensor recovery for large environmental sensor networks
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
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.
