activity
20182021
most citedES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control

7 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2021

Improving speech recognition models with small samples for air traffic control systems

Yi Lin, Qin Li, Bo Yang +3

In the domain of air traffic control (ATC) systems, efforts to train a practical automatic speech recognition (ASR) model always faces the problem of small training samples since t…

physics.soc-ph20201 cited

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model

Qin Li, Huachun Tan, Xizhu Jiang +2

Non-recurrent traffic congestion (NRTC) usually brings unexpected delays to commuters. Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The…

cs.LG20196 cited

Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model

Yangxin Lin, Ping Wang, Yang Zhou +3

Car following models have been widely applied and made remarkable achievements in traffic engineering. However, the traffic micro-simulation accuracy of car following models in a p…

cs.MA20197 cited

ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control

Yuankai Wu, Huachun Tan, Zhuxi Jiang +1

Cooperative intelligent freeway traffic control is an important application in intelligent transportation systems, which is expected to improve the mobility of freeway networks. In…

cs.LG2018

Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning

Yuankai Wu, Huachun Tan, Bin Ran

Variable speed limits (VSL) control is a flexible way to improve traffic condition,increase safety and reduce emission. There is an emerging trend of using reinforcement learning t…