research
∙
09/13/2023
Uncertainty-aware Traffic Prediction under Missing Data
Traffic prediction is a crucial topic because of its broad scope of appl...
share
research
∙
08/28/2023
LLM Powered Sim-to-real Transfer for Traffic Signal Control
Numerous solutions are proposed for the Traffic Signal Control (TSC) tas...
research
∙
08/11/2023
Safety in Traffic Management Systems: A Comprehensive Survey
Traffic management systems play a vital role in ensuring safe and effici...
research
∙
07/23/2023
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control
Traffic signal control (TSC) is a complex and important task that affect...
research
∙
07/15/2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task
Graph regression is a fundamental task and has received increasing atten...
research
∙
07/15/2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
Graph Neural Networks (GNNs) have received increasing attention due to t...
research
∙
06/19/2023
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph
This paper proposes the fine-grained traffic prediction task (e.g. inter...
research
∙
04/21/2023
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
The emergence of reinforcement learning (RL) methods in traffic signal c...
research
∙
04/05/2023
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
Single occupancy vehicles are the most attractive transportation alterna...
research
∙
11/20/2022
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
Traffic signal control is safety-critical for our daily life. Roughly on...
research
∙
11/19/2022
LibSignal: An Open Library for Traffic Signal Control
This paper introduces a library for cross-simulator comparison of reinfo...
research
∙
08/13/2022
Modeling Network-level Traffic Flow Transitions on Sparse Data
Modeling how network-level traffic flow changes in the urban environment...
research
∙
01/07/2022
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
Most dialogue systems in real world rely on predefined intents and answe...
research
∙
06/19/2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling
Offline reinforcement learning (RL) tries to learn the near-optimal poli...
research
∙
03/22/2021
Learning to Simulate on Sparse Trajectory Data
Simulation of the real-world traffic can be used to help validate the tr...
research
∙
03/01/2020
Learning to Simulate Human Movement
Modeling how human moves on the space is useful for policy-making in tra...
research
∙
01/09/2020
A Probabilistic Simulator of Spatial Demand for Product Allocation
Connecting consumers with relevant products is a very important problem ...
research
∙
05/12/2019
Learning Phase Competition for Traffic Signal Control
Increasingly available city data and advanced learning techniques have e...
research
∙
05/12/2019
Diagnosing Reinforcement Learning for Traffic Signal Control
With the increasing availability of traffic data and advance of deep rei...
research
∙
05/11/2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Cooperation is critical in multi-agent reinforcement learning (MARL). In...
research
∙
04/17/2019
A Survey on Traffic Signal Control Methods
Traffic signal control is an important and challenging real-world proble...
research
∙
03/03/2018
