Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …

Recent research in transport safety focuses on the processing of large amounts of available
data by means of intelligent systems, in order to decrease the number of accidents for …

This paper analyzes the characteristics of mixed traffic flow with maximum platoon size of
connected automated vehicles (CAVs) based on analytical and simulation methods. First …

Reinforcement learning has demonstrated its potential in a series of challenging domains.
However, many real-world decision making tasks involve unpredictable environmental …

The current research demonstrates the application of artificial neural network (ANN) in
predicting the fracture under mixed-mode I/II loadings. To this end, based on the analysis of …

Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained
increasing interest from both researchers and companies. This has caused a rapid …

With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …

The detection and brain tumor (BT) segmentation and classification are mandatory steps
before any radiotherapy or surgery. When performed manually, segmentation is time …

Due to inevitable parameter uncertainties and disturbances, four-wheel independent drive
automated vehicles (4WIDAVs) will produce tracking deviation during the path following …

Future autonomous transportation is one of the most demanding application areas in terms
of connectivity, as it has to simultaneously meet stringent criteria that do not typically go …