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Lukas Ambühl
Lukas Ambühl
Transcality
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Understanding traffic capacity of urban networks
A Loder, L Ambühl, M Menendez, KW Axhausen
Scientific reports 9 (1), 16283, 2019
1982019
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
1832017
Data fusion algorithm for macroscopic fundamental diagram estimation
L Ambühl, M Menendez
Transportation Research Part C: Emerging Technologies 71, 184-197, 2016
1572016
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
772020
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
712017
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
572019
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
542019
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
462021
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
432020
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
422018
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
332022
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
262016
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
252019
Understanding congestion propagation by combining percolation theory with the macroscopic fundamental diagram
L Ambühl, M Menendez, MC González
Communications Physics 6 (1), 26, 2023
222023
Implementing design and operational measures for sustainable mobility: Lessons from Zurich
M Menendez, L Ambühl
Sustainability 14 (2), 625, 2022
202022
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas
202020
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
172018
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
142018
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
122020
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
102020
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