10 citations · 10 across the 3 of their papers we have counts for
4 papers
Sample-Efficiency of Kolmogorov-Arnold Networks
Kevin Riehl, Shaimaa K. El-Baklish, Fan Wu +1
Deep reinforcement learning has achieved substantial performance gains over classical control approaches. Yet, a central challenge to learning in real-world applications is acquiri…
Distributive Perimetral Queue Balancing Mechanisms: Towards Equitable Urban Traffic Gating and Fair Perimeter Control
Kevin Riehl, Lea Künstler, Ying-Chuan Ni +4
Perimeter control is an effective urban traffic management strategy that regulates inflow to congested urban regions using aggregate network dynamics. While existing approaches pri…
Great GATsBi: Hybrid, Multimodal, Trajectory Forecasting for Bicycles using Anticipation Mechanism
Kevin Riehl, Shaimaa K. El-Baklish, Anastasios Kouvelas +1
Accurate prediction of road user movement is increasingly required by many applications ranging from advanced driver assistance systems to autonomous driving, and especially crucia…
Driving Towards Stability and Efficiency: A Variable Time Gap Strategy for Adaptive Cruise Control
Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis
Automated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand o…