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20182025
most citedHybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack

15 citations · 40 across the 31 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

stat.AP2020

Evaluation of Sustainable Green Materials: Pinecone in Permeable Adsorptive Barriers for Remediation of Groundwater Contaminated by and Methylene Blue

Samuel Darko, Gurcan Comert, Noelle A Mware +1

We report herein, the potential of raw pinecone powder (PCP) and pinecone biochar (PCBC) as alternatives to activated carbon used in Permeable Adsorptive Barriers (PABs) for the in…

stat.AP20202 cited

Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels

Gurcan Comert

Dynamic behavior of traffic adversely affect the performance of the prediction models in intelligent transportation applications. This study applies Gaussian processes (GPs) to tra…

stat.AP2020

Improved Grey System Models for Predicting Traffic Parameters

Gurcan Comert, Negash Begashaw, Nathan Huynh

In transportation applications such as real-time route guidance, ramp metering, congestion pricing and special events traffic management, accurate short-term traffic flow predictio…

cs.CR20201 cited

Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks

Gurcan Comert, Mashrur Chowdhury, David M. Nicol

This study presents a methodology to quantify vulnerability of cyber attacks and their impacts based on probabilistic graphical models for intelligent transportation systems under…

stat.AP2020

Queue Length Estimation at Traffic Signals: Connected Vehicles with Range Measurement Sensors

Gurcan Comert, Mecit Cetin

Today vehicles are becoming a rich source of data as they are equipped with localization or tracking and with wireless communications technologies. With the increasing interest in…

stat.AP2020

Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters

Gurcan Comert, Negash Begashaw

Estimation models from connected vehicles often assume low level parameters such as arrival rates and market penetration rates as known or estimate them in real-time. At low market…