activity
20242026
collaborators

11 papers

cs.DL2026

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…

eess.SY2026

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…

cs.GR2026

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…

eess.SY2026

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…

eess.SY2026

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…

cs.CY2026

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…