activity
20212024
most citedDynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network

44 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024★ 1 cited

Antifragile perimeter control: Thriving on disruptions through 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…

cs.LG2022★ 12 cited

Time-to-Green predictions for fully-actuated signal control systems with supervised learning

Alexander Genser, Michail A. Makridis, Kaidi Yang +3

Recently, efforts have been made to standardize signal phase and timing (SPaT) messages. These messages contain signal phase timings of all signalized intersection approaches. This…

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…