An intelligent congestion avoidance mechanism based on generalized regression neural network for heterogeneous vehicular networks
F Falahatraftar, S Pierre… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The information generated by safety and traffic efficiency applications needs strict
communication requirements to be smoothly exchanged in intelligent transportation system …
communication requirements to be smoothly exchanged in intelligent transportation system …
Detection of emergency braking intention from soft braking and normal driving intentions using EMG signals
Emergency braking intention detection has a vital practical value for improving driving
safety. This paper proposed an electromyography (EMG)-based method to detect …
safety. This paper proposed an electromyography (EMG)-based method to detect …
A multiple linear regression model for predicting congestion in heterogeneous vehicular networks
F Falahatraftar, S Pierre… - 2020 16th International …, 2020 - ieeexplore.ieee.org
Finite capacity of network resources and enormous data generated by vehicles using safety
and comfort applications, have made network congestion a challenge to manage in …
and comfort applications, have made network congestion a challenge to manage in …