Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data

1 code implementation • 22 Sep 2020 • Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu

Road maintenance during the Winter season is a safety critical and resource demanding operation.

An Improved Deep Belief Network Model for Road Safety Analyses

no code implementations • 17 Dec 2018 • Guangyuan Pan, Liping Fu, Lalita Thakali, Matthew Muresan, Ming Yu

In this paper, we attempt to demonstrate the potential of this new model for crash prediction through two case studies including a collision data set from 800 km stretch of Highway 401 and other highways in Ontario, Canada.

regression

Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network

no code implementations • 17 Dec 2018 • Guangyuan Pan, Liping Fu, Ruifan Yu, Matthew Muresan

Results show that the proposed model has the highest classification performance in comparison to the traditional machine learning techniques.

BIG-bench Machine Learning Classification +1

A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data

no code implementations • 26 Sep 2017 • Wenwen Tu, Feng Xiao, Liping Fu, Guangyuan Pan

A total of 747, 856 sets of data are generated and used for both traffic flow states classification and sensitivity analysis of input variables.

Classification Computational Efficiency +1