Understanding traffic capacity of urban networks A Loder, L Ambühl, M Menendez, KW Axhausen Scientific reports 9 (1), 16283, 2019 | 227 | 2019 |
Empirics of multi-modal traffic networks–Using the 3D macroscopic fundamental diagram A Loder, L Ambühl, M Menendez, KW Axhausen Transportation Research Part C: Emerging Technologies 82, 88-101, 2017 | 189 | 2017 |
Data fusion algorithm for macroscopic fundamental diagram estimation L Ambühl, M Menendez Transportation Research Part C: Emerging Technologies 71, 184-197, 2016 | 167 | 2016 |
A functional form with a physical meaning for the macroscopic fundamental diagram L Ambühl, A Loder, MCJ Bliemer, M Menendez, KW Axhausen Transportation Research Part B: Methodological 137, 119-132, 2020 | 78 | 2020 |
Empirical macroscopic fundamental diagrams: New insights from loop detector and floating car data L Ambühl, A Loder, M Menendez, KW Axhausen TRB 96th Annual Meeting Compendium of Papers, 17-03331, 2017 | 73 | 2017 |
Capturing network properties with a functional form for the multi-modal macroscopic fundamental diagram A Loder, I Dakic, L Bressan, L Ambühl, MCJ Bliemer, M Menendez, ... Transportation Research Part B: Methodological 129, 1-19, 2019 | 58 | 2019 |
Approximative network partitioning for MFDs from stationary sensor data L Ambühl, A Loder, N Zheng, KW Axhausen, M Menendez Transportation Research Record 2673 (6), 94-103, 2019 | 54 | 2019 |
Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year L Ambühl, A Loder, L Leclercq, M Menendez Transportation Research Part C: Emerging Technologies 126, 103065, 2021 | 51 | 2021 |
On the modeling of passenger mobility for stochastic bi-modal urban corridors I Dakic, L Ambühl, O Schümperlin, M Menendez Transportation Research Part C: Emerging Technologies 113, 146-163, 2020 | 45 | 2020 |
Introducing a re-sampling methodology for the estimation of empirical macroscopic fundamental diagrams L Ambühl, A Loder, MCJ Bliemer, M Menendez, KW Axhausen Transportation Research Record 2672 (20), 239-248, 2018 | 44 | 2018 |
Fitting empirical fundamental diagrams of road traffic: A comprehensive review and comparison of models using an extensive data set DM Bramich, M Menéndez, L Ambühl IEEE Transactions on Intelligent Transportation Systems 23 (9), 14104-14127, 2022 | 40 | 2022 |
Understanding congestion propagation by combining percolation theory with the macroscopic fundamental diagram L Ambühl, M Menendez, MC González Communications Physics 6 (1), 26, 2023 | 32 | 2023 |
Mapping time-varying accessibility and territorial cohesion with time-distorted maps J Balsa-Barreiro, L Ambuühl, M Menendez, A Pentland IEEE Access 7, 41702-41714, 2019 | 27 | 2019 |
What about space?: A simulation based assessment of AVs impact on road space in urban areas L Ambühl, F Ciari, M Menendez 16th Swiss Transport Research Conference (STRC 2016), 2016 | 27 | 2016 |
Implementing design and operational measures for sustainable mobility: Lessons from Zurich M Menendez, L Ambühl Sustainability 14 (2), 625, 2022 | 23 | 2022 |
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas | 21 | 2020 |
A case study of Zurich’s two-layered perimeter control L Ambühl, A Loder, M Menendez, KW Axhausen 7th Transport Research Arena (TRA 2018), 2018 | 18 | 2018 |
Time-to-Green predictions: A framework to enhance SPaT messages using machine learning A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 15 | 2020 |
Evaluating London's congestion charge: An approach using the macroscopic fundamental diagram L Ambühl, A Loder, H Becker, M Menendez, KW Axhausen 7th Transport Research Arena (TRA 2018), 2018 | 15 | 2018 |
FitFun: A modelling framework for successfully capturing the functional form and noise of observed traffic flow–density–speed relationships DM Bramich, M Menendez, L Ambühl Transportation research part C: emerging technologies 151, 104068, 2023 | 11 | 2023 |