7 papers
A Geometric Principle for Path Selection in Directed Acyclic Graphs
Haya AlMuhanna, Tim S. Evans
There are many types of path between nodes of a Directed acyclic graph (DAG), including the shortest and longest paths. Here, we ask whether the choice of path used in any analysis…
MINT-V2X: A Mobility-Integrated Network Trajectory Dataset for Predictive Resource Management
Abdullah Anjum, Abdolazim Rezaei, Mehdi Sookhak
Vehicle-to-Everything (V2X) communication systems are based on datasets that not only contain vehicle trajectory data but also wireless network parameters with a realistic level of…
Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration
Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast
Accurate network traffic prediction is a critical element for efficient resource allocation in dynamic urban cellular networks. However, prediction remains challenging because netw…
PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving
Abdolazim Rezaei, Mehdi Sookhak
This study introduces PEFT-DML, a parameter-efficient deep metric learning framework for robust multi-modal 3D object detection in autonomous driving. Unlike conventional models th…
RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System
Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast
The proliferation of AI-powered cameras in Intelligent Transportation Systems (ITS) creates a severe conflict between the need for rich visual data and the right to privacy. Existi…
GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination
Nabil Abdelaziz Ferhat Taleb, Abdolazim Rezaei, Raj Atulkumar Patel +1
Large Language Models (LLMs) offer significant promise for intelligent traffic management; however, current chain-based systems like TrafficGPT are hindered by sequential task exec…
Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation
Abdolazim Rezaei, Mehdi Sookhak, Ahmad Patooghy +2
Intelligent Transportation Systems (ITS) rely on a variety of devices that frequently process privacy-sensitive data. Roadside units are important because they use AI-equipped came…