8 citations · 16 across the 13 of their papers we have counts for
14 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…
ARA: Agentic Reproducibility Assessment For Scalable Support Of Scientific Peer-Review
Kevin Riehl, Andres L. Marin, Nikofors Zacharof +6
Scientific peer review increasingly struggles to assess reproducibility at the scale and complexity of modern research output. Evaluating reproducibility requires reconstructing ex…
sumoITScontrol: Traffic Controller Collection for SUMO Traffic Simulations
Kevin Riehl, Anastasios Kouvelas, Michail A. Makridis
Reliable benchmarking is essential for progress in intelligent traffic control research. While microscopic traffic simulators such as SUMO enable detailed modelling of individual v…
sumo3Dviz: A three dimensional traffic visualisation
Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas +1
Traffic microsimulation software such as SUMO generate rich spatio-temporal data describing individual vehicle movements, interactions, and support the development of control strat…
Karma Mechanisms for Decentralised, Cooperative Multi Agent Path Finding
Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas +1
Multi-Agent Path Finding (MAPF) is a fundamental coordination problem in large-scale robotic and cyber-physical systems, where multiple agents must compute conflict-free trajectori…
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…
C-EQ-ALINEA: Distributed, Coordinated, and Equitable Ramp Metering Strategy for Sustainable Freeway Operations
Kevin Riehl, Omar Alami Badissi, Anastasios Kouvelas +1
Ramp metering is a widely deployed traffic management strategy for improving freeway efficiency, yet conventional approaches often lead to highly uneven delay distributions across…
FairSCOSCA: Fairness At Arterial Signals -- Just Around The Corner
Kevin Riehl, Justin Weiss, Anastasios Kouvelas +1
Traffic signal control at intersections, especially in arterial networks, is a key lever for mitigating the growing issue of traffic congestion in cities. Despite the widespread de…
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…
Urban Priority Pass: Fair Signalized Intersection Management Accounting For Passenger Needs Through Prioritization
Kevin Riehl, Anastasios Kouvelas, Michail Makridis
Over the past few decades, efforts of road traffic management and practice have predominantly focused on maximizing system efficiency and mitigating congestion from a system perspe…
Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies
Kevin Riehl, Michail Makridis, Anastasios Kouvelas
Advancements in computer science, artificial intelligence, and control systems of the recent have catalyzed the emergence of cybernetic societies, where algorithms play a significa…
Towards Fair Roads -- Manifesto For Fairness Paradigm in Traffic Engineering
Kevin Riehl, Anastasios Kouvelas, Michail Makridis
Traffic engineering aims to control infrastructure and population behaviour to achieve optimal usage of road networks. Fairness is fundamental to stimulate cooperation in large pop…
Fair Money -- Public Good Value Pricing With Karma Economies
Kevin Riehl, Anastasios Kouvelas, Michail Makridis
City road infrastructure is a public good, and over-consumption by self-interested, rational individuals leads to traffic jams. Congestion pricing is effective in reducing demand t…
Resource Allocation with Karma Mechanisms
Kevin Riehl, Anastasios Kouvelas, Michail Makridis
Monetary markets serve as established resource allocation mechanisms, typically achieving efficient solutions with limited information. However, they are susceptible to market fail…