A novel, modular validation framework for collision avoidance of automated vehicles at road junctions. - Philippe Nitsche; Ruth Helen Welsh; Alexander Genser; Pete D. Thomas (ITSC, 2018)

Identification of critical ride comfort sections by use of a validated vehicle model and Monte Carlo simulations. - Alexander Genser; Philippe Nitsche; Anastasios Kouvelas (ITSC, 2019)

Time-to-Green predictions: A framework to enhance SPaT messages using machine learning. - Alexander Genser; Lukas Ambühl; Kaidi Yang; Mónica Menéndez; Anastasios Kouvelas (ITSC, 2020)

Dynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network. - Alexander Genser; Anastasios Kouvelas (CoRR, 2021)

Critical ride comfort detection for automated vehicles. - Alexander Genser; Roland Spielhofer; Philippe Nitsche; Anastasios Kouvelas (CoRR, 2021)

Ride comfort assessment for automated vehicles utilizing a road surface model and Monte Carlo simulations. - Alexander Genser; Roland Spielhofer; Philippe Nitsche; Anastasios Kouvelas (Comput. Aided Civ. Infrastructure Eng., 2022)

An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation. - Alexander Genser; Noel Hautle; Michail Makridis; Anastasios Kouvelas (Sensors, 2022)

Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning. - Linghang Sun; Michail A. Makridis; Alexander Genser; Cristian Axenie; Margherita Grossi; Anastasios Kouvelas (CoRR, 2024)

Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning. - Alexander Genser; Michail A. Makridis; Kaidi Yang; Lukas Ambühl; Mónica Menéndez; Anastasios Kouvelas (IEEE Trans. Intell. Transp. Syst., 2024)