58 citations · 166 across the 14 of their papers we have counts for
14 papers
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Zijian Hu, Wei Ma
Effective traffic control methods have great potential in alleviating network congestion. Existing literature generally focuses on a single control approach, while few studies have…
Maximin Headway Control of Automated Vehicles for System Optimal Dynamic Traffic Assignment in General Networks
Jinxiao Du, Wei Ma
This study develops the headway control framework in a fully automated road network, as we believe headway of Automated Vehicles (AVs) is another influencing factor to traffic dyna…
Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs
Wei Ma, Sean Qian
System-level decision making in transportation needs to understand day-to-day variation of network flows, which calls for accurate modeling and estimation of probabilistic dynamic…
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxi Li, Yihong Tang, Wei Ma
Accurate short-term traffic prediction plays a pivotal role in various smart mobility operation and management systems. Currently, most of the state-of-the-art prediction models ar…
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds
Zijian Hu, Chengxiang Zhuge, Wei Ma
Smart traffic control and management become an emerging application for Deep Reinforcement Learning (DRL) to solve traffic congestion problems in urban networks. Different traffic…
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Lyuyi Zhu, Kairui Feng, Ziyuan Pu +1
Real-time traffic prediction models play a pivotal role in smart mobility systems and have been widely used in route guidance, emerging mobility services, and advanced traffic mana…