most citedTwo-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control

88 citations

5 papers

eess.SY2022★ 88 cited

Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control

Dimitrios Tsitsokas, Anastasios Kouvelas, Nikolas Geroliminis

Traffic-responsive signal control is a cost-effective and easy-to-implement network management strategy with high potential in improving performance in congested networks with dyna…

cs.CY2021★ 20 cited

An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation

Alexander Genser, Noel Hautle, Michail Makridis +1

Accurate estimation of the traffic state over a network is essential since it is the starting point for designing and implementing any traffic management strategy. Hence, traffic o…

cs.RO2021★ 30 cited

Critical ride comfort detection for automated vehicles

Alexander Genser, Roland Spielhofer, Philippe Nitsche +1

In a future connected vehicle environment, an optimized route and motion planning should not only fulfill efficiency and safety constraints but also minimize vehicle motions and os…

cs.RO2021★ 44 cited

Dynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network

Alexander Genser, Anastasios Kouvelas

Traffic management by applying congestion pricing is a measure for mitigating congestion in protected city corridors. As a promising tool, pricing improves the level of service in…

physics.soc-ph2021★ 32 cited

Characterizing driver heterogeneity within stochastic traffic simulation

Michail A. Makridis, Aikaterini Anesiadou, Konstantinos Mattas +2

Drivers' heterogeneity and the broad range of vehicle characteristics on public roads are primarily responsible for the stochasticity observed in road traffic dynamics. Understandi…