Anuj Sharma

Associate Professor

Iowa State University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Anuj Sharma is an Associate Professor at Iowa State University, USA. His research focuses on advanced transportation systems, including real-time vehicle detection, driver behavior analysis, and the application of connected vehicle data in traffic management. He has published extensively on topics such as uncrewed aerial vehicles for safety compliance, machine learning models for lane closure detection, and evaluating driver distraction through naturalistic video analysis.

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2020

Collaborators (7)

RAGHUPATHI KANDIBOINA

Assistant Professor (Visiting)

Wentworth Institute of Technology

UNITED STATES

View details

Soumik Sarkar

Iowa State University

UNITED STATES

View details

A. M. Tahsin Emtenan

University of Maryland at College Park

UNITED STATES

View details

Neal Hawkins

Iowa State University

UNITED STATES

View details

David Anastasiu

Assistant Professor

Santa Clara University

UNITED STATES

View details

Patrick Singleton

Assistant Professor

Utah State University

UNITED STATES

View details

Christopher Day

Assistant Professor

Iowa State University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Anuj Sharma

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Real-Time Freeway Crash Detection Framework using Connected Vehicle Waypoint Data

An Automated Framework for Lane Closure Detection on Highway Using Connected Vehicle Data and Machine Learning Models

Uncrewed Aerial Vehicle-Based Automatic System for Seat Belt Compliance Detection at Stop-Controlled Intersections

Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos

Data-Driven Approach to Reverse Engineer Detector Metadata at Signalized Intersections with Unknown Control Plans

Rethinking the Evaluation of Driver Behavior Analysis Approaches

Exploring the Efficacy of Large-Scale Connected Vehicle Data in Real-Time Traffic Applications

Massively parallelizable approach for evaluating signalized arterial performance using probe-based data

Impact of COVID-19 on Traffic Signal Systems: Survey of Agency Interventions and Observed Changes in Pedestrian Activity

Exploratory Regression Models for Estimating Right-Turn-on-Red Volume on Exclusive Right-Turn Lanes at Signalized Intersections

Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver

MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension

Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies

Strategy and safety at stop intersections in older adults with mild cognitive impairment and visual decline

Driver Head Pose Detection From Naturalistic Driving Data

A deep‐learning‐based computer vision solution for construction vehicle detection

Collaborators (7)

RAGHUPATHI KANDIBOINA

Soumik Sarkar

A. M. Tahsin Emtenan

Neal Hawkins

David Anastasiu

Patrick Singleton

Christopher Day

Make your next move.