Search Results for author: Sakib Mahmud Khan

Found 11 papers, 1 papers with code

An Overview of Automated Vehicle Platooning Strategies

no code implementations8 Mar 2024 M Sabbir Salek, Mugdha Basu Thakur, Pardha Sai Krishna Ala, Mashrur Chowdhury, Matthias Schmid, Pamela Murray-Tuite, Sakib Mahmud Khan, Venkat Krovi

Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks.

Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models

no code implementations18 Dec 2023 Reek Majumder, Jacquan Pollard, M Sabbir Salek, David Werth, Gurcan Comert, Adrian Gale, Sakib Mahmud Khan, Samuel Darko, Mashrur Chowdhury

The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH4.

Ensemble Learning

A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles

no code implementations25 Apr 2022 Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan

Moreover, the hybrid defense method, presented in this study, improves the accuracy for traffic sign classification compared to the traditional defense methods (i. e., JPEG filtering, feature squeezing, binary filtering, and random filtering) up to 6%, 50%, and 55% for FGSM, MIM, and PGD attacks, respectively.

Autonomous Vehicles Navigate +3

Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection

no code implementations14 Oct 2021 Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan, Sakib Mahmud Khan

A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast number of calculations simultaneously compared to classical computers.

Is Third-Party Provided Travel Time Helpful to Estimate Freeway Performance Measures?

no code implementations6 Sep 2020 Sakib Mahmud Khan, Anthony David Patire

Using a simulated I-210 model, the overall framework using multiple data sources is evaluated, and compared with the traditional point detector-based estimation method.

Connected Vehicle Application Development Platform (CVDeP) for Edge-centric Cyber-Physical Systems

1 code implementation2 Dec 2018 Mhafuzul Islam, Mizanur Rahman, Sakib Mahmud Khan, Mashrur Chowdhury, Lipika Deka

Connected vehicle (CV) application developers need a development platform to build, test and debug CV applications, such as safety, mobility, and environmental applications, in an edge-centric Cyber-Physical Systems.

Networking and Internet Architecture

Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction

no code implementations15 Aug 2018 MD Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury, Kakan Dey

The analysis indicates that the LSTM model performs better than simple RNN and GRU models, and imputation performs better than masking to predict future traffic volume.

Imputation Time Series +1

Development of Statewide AADT Estimation Model from Short-Term Counts: A Comparative Study for South Carolina

no code implementations30 Nov 2017 Sakib Mahmud Khan, Sababa Islam, MD Zadid Khan, Kakan Dey, Mashrur Chowdhury, Nathan Huynh

SVR models are validated for each roadway functional class using the 2016 ATR data and selected short-term count data collected by the South Carolina Department of Transportation (SCDOT).


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