Transportation agencies strive to optimize their spending on data collection by exploring
efficient techniques that provide reliable traffic data. In recent years, the automobile industry …

Transportation agencies rely on a variety of data sources for condition monitoring of their
assets and making critical decisions such as infrastructure investments and project …

The rapid advancement in the field of machine learning and high-performance computing
have highly augmented the scope of video-based traffic monitoring systems. In this study, an …

This study implements a video-based traffic queue monitoring system using Mask RCNN: A
convolutional neural network (CNN) approach for predicting pixel-level segmentation masks …

In this thesis, we propose a system for Highway traffic classification using data mining in
Machine learning. Monitoring traffic effectively has long been one of the most important …

An exponential growth in relevant data streams has brought new opportunities and
challenges in the realm of data warehousing. Increased data enables improved planning …

State transportation agencies regularly collect and store various types of data for different
uses such as planning, traffic operations, design, and construction. These large datasets …