Follow
Lukas Ambühl
Lukas Ambühl
Transcality
Verified email at ivt.baug.ethz.ch
Title
Cited by
Cited by
Year
Understanding traffic capacity of urban networks
A Loder, L Ambühl, M Menendez, KW Axhausen
Scientific reports 9 (1), 16283, 2019
1812019
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
1692017
Data fusion algorithm for macroscopic fundamental diagram estimation
L Ambühl, M Menendez
Transportation Research Part C: Emerging Technologies 71, 184-197, 2016
1482016
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
672020
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
652017
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
512019
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
492019
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
432021
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
382020
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
332018
Fitting empirical fundamental diagrams of road traffic: A comprehensive review and comparison of models using an extensive data set
DM Bramich, M Menendez, L Ambühl
IEEE Transactions on Intelligent Transportation Systems 23 (9), 14104-14127, 2022
272022
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
252016
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
242019
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
A Genser, L Ambühl, K Yang, M Menendez, A Kouvelas
192020
Understanding congestion propagation by combining percolation theory with the macroscopic fundamental diagram
L Ambühl, M Menendez, MC González
Communications Physics 6 (1), 26, 2023
182023
Implementing design and operational measures for sustainable mobility: Lessons from Zurich
M Menendez, L Ambühl
Sustainability 14 (2), 625, 2022
172022
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
162018
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
152018
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
The system can't perform the operation now. Try again later.
Articles 1–20