20 citations · 67 across the 21 of their papers we have counts for
10 papers · 1 filter
Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation
Linghang Sun, Qishen Zhou, Michail A. Makridis +1
The estimation of Annual Average Daily Traffic (AADT) is vital for transportation planning and infrastructure maintenance, yet obtaining accurate values for an entire urban network…
Revisiting mesoscopic traffic flow simulation in SUMO: Limitations, analysis, and an alternative
Ying-Chuan Ni, Alina Akopian, Anastasios Kouvelas +1
Mesoscopic traffic flow models combines the merits of both macroscopic and microscopic models by capturing individual vehicle behavior in great detail and remaining the computation…
Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data
Qishen Zhou, Yifan Zhang, Michail A. Makridis +3
Inferring network-wide traffic states from sparse observations with high accuracy and trustworthy uncertainty quantification is essential for intelligent transportation systems, ye…
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…