4 citations · 7 across the 5 of their papers we have counts for
5 papers
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
Victor Chan, Qijian Gan, Alexandre Bayen
Accurate and reliable prediction of traffic measurements plays a crucial role in the development of modern intelligent transportation systems. Due to more complex road geometries a…
Adaptive Coordination Offsets for Signalized Arterial Intersections using Deep Reinforcement Learning
Keith Anshilo Diaz, Damian Dailisan, Umang Sharaf +5
Coordinating intersections in arterial networks is critical to the performance of urban transportation systems. Deep reinforcement learning (RL) has gained traction in traffic cont…
PDE Traffic Observer Validated on Freeway Data
Huan Yu, Qijian Gan, Alexandre M. Bayen +1
This paper develops boundary observer for estimation of congested freeway traffic states based on Aw-Rascle-Zhang (ARZ) partial differential equations (PDE) model. Traffic state es…
Analysis of traffic statics and dynamics in a signalized double-ring network: A Poincaré map approach
Qi-Jian Gan, Wen-Long Jin, Vikash V. Gayah
Understanding traffic statics and dynamics in urban networks is critical to develop effective control and management strategies. In this paper, we provide a novel approach to study…
A kinematic wave theory of capacity drop
Wen-Long Jin, Qi-Jian Gan, Jean-Patrick Lebacque
Capacity drop at active bottlenecks is one of the most puzzling traffic phenomena, but a thorough understanding is practically important for designing variable speed limit and ramp…