activity
20202023
most citedOptimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems

3 citations · 7 across the 11 of their papers we have counts for

collaborators

12 papers

cs.NI2023

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…

cs.MA2023★ 3 cited

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…

cs.NI2022★ 1 cited

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…

cs.RO2022

Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems

Rodolfo Valiente, Arash Raftari, Hossein Nourkhiz Mahjoub +3

Vehicle-to-Everything (V2X) communication has been proposed as a potential solution to improve the robustness and safety of autonomous vehicles by improving coordination and removi…

cs.RO2022

Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic

Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour +2

It is expected that autonomous vehicles(AVs) and heterogeneous human-driven vehicles(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their soci…

cs.RO2022★ 1 cited

Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving

Rodolfo Valiente, Mahdi Razzaghpour, Behrad Toghi +2

Autonomous vehicle (AV) navigation in the presence of Human-driven vehicles (HVs) is challenging, as HVs continuously update their policies in response to AVs. In order to navigate…

cs.MA2022★ 1 cited

Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms

Ahura Jami, Mahdi Razzaghpour, Hussein Alnuweiri +1

Developing safety and efficiency applications for Connected and Automated Vehicles (CAVs) require a great deal of testing and evaluation. The need for the operation of these system…

eess.SY2022★ 1 cited

Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control

Mahdi Razzaghpour, Sahand Mosharafian, Arash Raftari +2

Cooperative driving, enabled by Vehicle-to-Everything (V2X) communication, is expected to significantly contribute to the transportation system's safety and efficiency. Cooperative…

cs.RO2021

Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control

Sahand Mosharafian, Mahdi Razzaghpour, Yaser P. Fallah +1

Cooperative driving relies on communication among vehicles to create situational awareness. One application of cooperative driving is Cooperative Adaptive Cruise Control (CACC) tha…

cs.RO2021

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…

eess.SY2021

Impact of Communication Loss on MPC based Cooperative Adaptive Cruise Control and Platooning

Mahdi Razzaghpour, Shahriar Shahram, Rodolfo Valiente +1

Cooperative driving, enabled by communication between automated vehicle systems, is expected to significantly contribute to transportation safety and efficiency. Cooperative Adapti…

eess.SP2020

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…