17 citations · 31 across the 5 of their papers we have counts for
5 papers
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Juan Carrillo, Mark Crowley, Guangyuan Pan +1
Road maintenance during the Winter season is a safety critical and resource demanding operation. One of its key activities is determining road surface condition (RSC) in order to p…
Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation
Matthew Muresan, Liping Fu, Guangyuan Pan
This paper presents the results of a new deep learning model for traffic signal control. In this model, a novel state space approach is proposed to capture the main attributes of t…
An Improved Deep Belief Network Model for Road Safety Analyses
Guangyuan Pan, Liping Fu, Lalita Thakali +2
Crash prediction is a critical component of road safety analyses. A widely adopted approach to crash prediction is application of regression based techniques. The underlying calibr…
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network
Guangyuan Pan, Liping Fu, Ruifan Yu +1
This paper investigates the application of the latest machine learning technique deep neural networks for classifying road surface conditions (RSC) based on images from smartphones…
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data
Wenwen Tu, Feng Xiao, Liping Fu +1
This study proposes a Deep Belief Network model to classify traffic flow states. The model is capable of processing massive, high-density, and noise-contaminated data sets generate…