84 citations · 110 across the 7 of their papers we have counts for
8 papers
Scalable Cellular V2X Solutions: Large-Scale Deployment Challenges of Connected Vehicle Safety Networks
Ghayoor Shah, Mahdi Zaman, Md Saifuddin +2
Vehicle-to-Everything (V2X) communication is expected to accomplish a long-standing goal of the Connected and Autonomous Vehicle (CAV) community to bring connected vehicles to road…
On Batching Acknowledgements in C-V2X Services
Mahdi Zaman, Md Saifuddin, Mahdi Razzaghpour +2
Cellular Vehicle-to-Everything (C-V2X) is a frontier in the evolution of distributed communication introduced in 3GPP release 14 to advanced use cases. While research efforts conti…
Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems
Mahdi Razzaghpour, Shahriar Shahram, Rodolfo Valiente +2
In this study, we explore an innovative approach to enhance cooperative driving in vehicle platooning systems through the use of vehicle-to-everything (V2X) communication technolog…
Performance Analysis of V2I Zone Activation and Scalability for C-V2X Transactional Services
Mahdi Zaman, Md Saifuddin, Mahdi Razzaghpour +1
Cellular-V2X (C-V2X) enables communication between vehicles and other transportation entities over the 5.9GHz spectrum. C-V2X utilizes direct communication mode for safety packet b…
Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications
Mahdi Razzaghpour, Adwait Datar, Daniel Schneider +5
Cooperative driving systems, such as platooning, rely on communication and information exchange to create situational awareness for each agent. Design and performance of control co…
Performance Analysis of Cellular-V2X with Adaptive and Selective Power Control
Md Saifuddin, Mahdi Zaman, Behrad Toghi +2
LTE based Cellular Vehicle-To-Everything (C-V2X) allows vehicles to communicate with each other directly without the need for infrastructure and is expected to be a critical enable…
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications
Behrad Toghi, Divas Grover, Mahdi Razzaghpour +5
Short-term future of automated driving can be imagined as a hybrid scenario in which both automated and human-driven vehicles co-exist in the same environment. In order to address…
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks
Rodolfo Valiente, Mahdi Zaman, Sedat Ozer +1
A fundamental challenge in autonomous vehicles is adjusting the steering angle at different road conditions. Recent state-of-the-art solutions addressing this challenge include dee…