15 citations · 53 across the 12 of their papers we have counts for
6 papers · 1 filter
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty +4
Movement specific vehicle classification and counting at traffic intersections is a crucial component for various traffic management activities. In this context, with recent advanc…
ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections
Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo +3
The use of naturalistic driving studies (NDSs) for driver behavior research has skyrocketed over the past two decades. Intersections are a key target for traffic safety, with up to…
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal +3
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powe…
A data-driven personalized smart lighting recommender system
Atousa Zarindast, Jonathan Wood, Anuj Sharma
Recommender systems attempts to identify and recommend the most preferable item (product-service) to an individual user. These systems predict user interest in items based on relat…
Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
Ashirwad Barnwal, Pranamesh Chakraborty, Anuj Sharma +6
Diabetes is a major public health challenge worldwide. Abnormal physiology in diabetes, particularly hypoglycemia, can cause driver impairments that affect safe driving. While diab…
Big Data application in congestion detection and classification using Apache spark
Atousa Zarindast, Anuj Sharma
With the era of big data, an explosive amount of information is now available. This enormous increase of Big Data in both academia and industry requires large-scale data processing…