18 citations · 24 across the 12 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Antifragile perimeter control: Anticipating and gaining from disruptions with reinforcement learning
Linghang Sun, Michail A. Makridis, Alexander Genser +3
The optimal operation of transportation systems is often susceptible to unexpected disruptions. Many established control strategies reliant on mathematical models can struggle with…
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…