| Understanding traffic capacity of urban networks A Loder, L Ambühl, M Menendez, KW Axhausen Scientific reports 9 (1), 16283, 2019 | 240 | 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 | 193 | 2017 |
| Data fusion algorithm for macroscopic fundamental diagram estimation L Ambühl, M Menendez Transportation Research Part C: Emerging Technologies 71, 184-197, 2016 | 177 | 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 | 83 | 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 | 76 | 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 | 56 | 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 | 55 | 2021 |
| 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 | 46 | 2018 |
| 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 |
| 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 | 42 | 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 | 36 | 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 | 29 | 2019 |
| Implementing design and operational measures for sustainable mobility: Lessons from Zurich M Menendez, L Ambühl Sustainability 14 (2), 625, 2022 | 27 | 2022 |
| 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 |
| 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas | 23 | 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 | 17 | 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 |
| Enhancement of SPaT-messages with machine learning based time-to-green predictions A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas 9th Symposium of the European Association for Research in Transportation …, 2020 | 14 | 2020 |
Monica MenendezProfessor at NYUAD, Global Network Professor at NYUZweryfikowany adres z nyu.edu