Mapping Time-Varying Accessibility and Territorial Cohesion With Time-Distorted Maps. - José Balsa-Barreiro; Lukas Ambühl; Mónica Menéndez; Alex Pentland (IEEE Access, 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)

Fitting Empirical Fundamental Diagrams of Road Traffic: A Comprehensive Review and Comparison of Models Using an Extensive Data Set. - Daniel M. Bramich; Mónica Menéndez; Lukas Ambühl (IEEE Trans. Intell. Transp. Syst., 2022)

From Corridor to Network Macroscopic Fundamental Diagrams: A Semi-Analytical Approximation Approach. - Gabriel Tilg; Lukas Ambühl; Sérgio F. A. Batista; Mónica Menéndez; Ludovic Leclercq; Fritz Busch (Transp. Sci., 2023)

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. - Moritz Neun; Christian Eichenberger; Yanan Xin 001; Cheng Fu; Nina Wiedemann; Henry Martin; Martin Tomko; Lukas Ambühl; Luca Hermes; Michael Kopp 001 (IEEE Trans. Intell. Transp. Syst., 2023)

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)