149 citations · 338 across the 41 of their papers we have counts for
41 papers
Treating Statewide CORS Networks as Spatially Distributed Sensors for GNSS Integrity Monitoring under Unintentional and Deliberate Threats
Minhaj Uddin Ahmad, Sagar Dasgupta, Muhammad Sami Irfan +3
State departments of transportation (DOTs) in the United States increasingly rely on statewide continuously operating reference station (CORS) networks to support high-precision Gl…
Autonomous Vehicles for All?
Sakib Mahmud Khan, M Sabbir Salek, Vareva Harris +3
The traditional build-and-expand approach is not a viable solution to keep roadway traffic rolling safely, so technological solutions, such as Autonomous Vehicles (AVs), are favore…
A Combinatorial Approach for Nonparametric Short-Term Estimation of Queue Lengths using Probe Vehicles
Gurcan Comert, Tewodros Amdeberhan, Negash Begashaw +1
Traffic state estimation plays an important role in facilitating effective traffic management. This study develops a combinatorial approach for nonparametric short-term queue lengt…
Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon
M Sabbir Salek, Mashrur Chowdhury, Mizanur Rahman +2
In this paper, we theoretically develop and numerically validate an asymmetric linear bilateral control model (LBCM). The novelty of the asymmetric LBCM is that using this model al…
Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan +1
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…
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine +7
The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of clo…
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed +6
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic…
Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
Sakib Mahmud Khan, Gurcan Comert, Mashrur Chowdhury
Connected vehicles (CVs), because of the external connectivity with other CVs and connected infrastructure, are vulnerable to cyberattacks that can instantly compromise the safety…
Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
Sagar Dasgupta, Mizanur Rahman, Mhafuzul Islam +1
In this study, a sensor fusion based GNSS spoofing attack detection framework is presented that consists of three concurrent strategies for an autonomous vehicle (AV): (i) predicti…
Security of Connected and Automated Vehicles
Mashrur Chowdhury, Mhafuzul Islam, Zadid Khan
The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a c…
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…
Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles
Sagar Dasgupta, Mizanur Rahman, Mhafuzul Islam +1
Global Navigation Satellite System (GNSS) provides Positioning, Navigation, and Timing (PNT) services for autonomous vehicles (AVs) using satellites and radio communications. Due t…
Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyber-Physical Systems
Hsien-Wen Deng, Mizanur Rahman, Mashrur Chowdhury +2
This study focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a Transportation Cyber-Physical Systems (TCPS) environment. TCPS impli…
An Evaluation Framework of End-to-End 5G Millimeter Wave Communication for Connected Vehicle Applications
Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury +2
The internet-of-things (IoT) environment connects different intelligent devices together and enables seamless data communication between the connected devices. Connected vehicles (…
Change Point Models for Real-time Cyber Attack Detection in Connected Vehicle Environment
Gurcan Comert, Mizanur Rahman, Mhafuzul Islam +1
Connected vehicle (CV) systems are cognizant of potential cyber attacks because of increasing connectivity between its different components such as vehicles, roadside infrastructur…
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications
Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun +1
As camera quality improves and their deployment moves to areas with limited bandwidth, communication bottlenecks can impair real-time constraints of an ITS application, such as vid…
Development of a Connected and Automated Vehicle Longitudinal Control Model
Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury +1
It is envisioned that, in the future, most vehicles on our roadway will be controlled autonomously and will be connected via vehicle to everything (V2X) wireless communication netw…
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control
Gurcan Comert, Zadid Khan, Mizanur Rahman +1
Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is the most advanced traffic signa…
Development and evaluation of an open-source, machine learning-based average annual daily traffic estimation software
Zadid Khan, Sakib Mahmud Khan, Ph. D. +3
Traditionally, Departments of Transportation (DOTs) use the factor-based model to estimate Annual Average Daily Traffic (AADT) from short-term traffic counts. The expansion factors…
Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections
Sakib Mahmud Khan, Mashrur Chowdhury
One challenging aspect of the Connected and Automated Vehicle (CAV) operation in mixed traffic is the development of a situation-awareness module for CAVs. While operating on publi…
Connected Vehicle Supported Adaptive Traffic Control for Near-congested Condition in a Mixed Traffic Stream
Sakib Mahmud Khan, Mashrur Chowdhury
Connected Vehicles (CVs) have the potential to significantly increase the safety, mobility, and environmental benefits of transportation applications. In this research, we have dev…
Vision-based Pedestrian Alert Safety System (PASS) for Signalized Intersections
Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury +3
Although Vehicle-to-Pedestrian (V2P) communication can significantly improve pedestrian safety at a signalized intersection, this safety is hindered as pedestrians often do not car…
Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network
Zadid Khan, Mashrur Chowdhury, Mhafuzul Islam +2
A modern vehicle contains many electronic control units (ECUs), which communicate with each other through the in-vehicle network to ensure vehicle safety and performance. Emerging…
Multi-class Twitter Data Categorization and Geocoding with a Novel Computing Framework
Sakib Mahmud Khan, Mashrur Chowdhury, Linh B. Ngo +1
This study details the progress in transportation data analysis with a novel computing framework in keeping with the continuous evolution of the computing technology. The computing…