3 papers
cs.RO2026
Trust as a Field: A Macroscopic Representation for Vehicular Networks
Md Mahmudul Islam, Shaurya Agarwal
Trust assessment is a fundamental component of cooperative and connected vehicle systems. However, existing approaches operate primarily at the level of individual vehicles, making…
cs.LG2026
Physics-Informed Teacher-Student Ensemble Learning for Traffic State Estimation with a Varying Speed Limit Scenario
Archie J. Huang, Dongdong Wang, Shaurya Agarwal +3
Physics-informed deep learning (PIDL) neural networks have shown their capability as a useful instrument for transportation practitioners in utilizing the underlying relationship b…
math.DS2024
Existence of Trust-field in Vehicular Ad Hoc Networks: Empirical Evidence
Md Mahmudul Islam, Shaurya Agarwal
Vehicular Ad Hoc Networks (VANETs) play a crucial role in enhancing road safety and traffic efficiency by enabling communication between vehicles (V2V) and between vehicles and inf…