Multi-resolution Model and Context-aware Information Networking for Cooperative Vehicle Efficiency and Safety Systems
The cooperative Intelligent Transportation System (ITS), a transportation system where all road users, including pedestrians, interact with each other wirelessly, promises to increase efficiency even further and additionally reduce road traffic fatalities and serious injuries. This feature sets the starting point for the evaluation of applications that up to now have not been provided by mobile communications technology and paves the way for ubiquitous connectivity in the automotive domain.
Cooperative Vehicle Safety (CVS) applications are heavily dependent on the reliability of the underlying data system, which can suffer from data loss, because of inherent problems with their various components, such as sensor failures or poor performance of Vehicle-to-Everything (V2X) technologies under dense communication channel load. Information loss, in particular, has an impact on the target classification module and, as a result, the performance of the safety application.
Publications:
Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms
Ahura Jami, Mahdi Razzaghpour, Hussein Alnuweiri, Yaser P. Fallah
Intelligent Transport Systems (IET)
Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems
Rodolfo Valiente, Arash Raftari, Hossein Nourkhiz Mahjoub, Mahdi Razzaghpour, Syed K Mahmud, Yaser P. Fallah
Intelligent Transport Systems (IET)
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications
Behrad Toghi, Divas Grover, Mahdi Razzaghpour, Rajat Jain, Rodolfo Valiente, Mahdi Zaman, Ghayoor Shah, Yaser P. Fallah
2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)
Error-Driven Content-Passing Policy for Mixture Model-based Tracking in Vehicular Networks
Arash Raftari, Mahdi Razzaghpour, Yaser P. Fallah
IEEE Transactions on Vehicular Technology (TVT)
