Isam Al‐Darabsah
Papers
2
Total Citations
10
H-Index
2
About
Isam Al-Darabsah is a researcher at the forefront of intelligent transportation systems, with a primary focus on the stability and control of connected and autonomous vehicle platoons. His work addresses a critical challenge in this domain: the detrimental effects of time-varying communication delays on cooperative adaptive cruise control (CACC). In his most cited paper (2024, 7 citations), Al-Darabsah validated a novel platoon model that explicitly accounts for these delays, moving beyond traditional approaches that often sacrifice control performance for stability. He further advanced the field by introducing a "Deep Time Delay Filter" for CACC (2023, 3 citations), a sophisticated method designed to mitigate communication lags without compromising system responsiveness. By tackling the fundamental issue of delay, Al-Darabsah’s research directly contributes to safer, more efficient traffic flow and reduced congestion. His work is essential reading for engineers and researchers developing the next generation of autonomous vehicle systems, demonstrating how deep learning and control theory can converge to solve real-world transportation challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Deep Time Delay Filter for Cooperative Adaptive Cruise Control3 citations · 2023