Advances in the connected vehicle and cloud computing technologies, Big data, and
artificial intelligence techniques have opened new research opportunities. We can integrate …

Crash is one of the leading causes of death in the United States. Real time detection of
crashes plays a pivotal role in increasing safety of highways. In this study, a deep ensemble …

Although the video surveillance system plays an important role in intelligent transportation,
the limited camera views make it difficult to observe many traffic events. In this paper, we …

With the development of the economy, the prediction of expressway project costs has gained
increasing research attention. In this study, based on the convolution neural network (CNN) …

Traffic incident detection plays a key role in intelligent transportation systems, which has
gained great attention in transport engineering. In the past, traditional machine learning (ML) …

This paper presents a research work which focuses on generating synthetic data to enrich
the training‐set of a deep learning (DL) based classification system to classify power system …

The increase in the volume and velocity of credit card transactions causes class imbalance
and concept deviation problems in data sets where credit card fraud is detected. These …

Automatic Incident Detection (AID) is an important part of Intelligent Transportation Systems
(ITS). A hybrid AID method using Random Forest-Recursive Feature Elimination (RF-RFE) …

Quick and reliable automatic detection of traffic accidents is of paramount importance to
save human lives in transportation systems. However, automatically detecting when …

The extraction of damage-sensitive features based on deep learning for the vibration
response caused by vehicle-bridge interaction (VBI) has become a mainstream method in …