Claudio Ruch
Claudio Ruch
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Cited by
Fleet operational policies for automated mobility: A simulation assessment for Zurich
KWA Sebastian Hörl, Claudio Ruch, Felix Becker, Emilio Frazzoli
Transportation Research Part C: Emerging Technologies 102, 20-31, 0
Amodeus, a simulation-based testbed for autonomous mobility-on-demand systems
C Ruch, S Hörl, E Frazzoli
2018 21st international conference on intelligent transportation systems …, 2018
Model predictive control of ride-sharing autonomous mobility-on-demand systems
M Tsao, D Milojevic, C Ruch, M Salazar, E Frazzoli, M Pavone
2019 International conference on robotics and automation (ICRA), 6665-6671, 2019
Fleet control algorithms for automated mobility: A simulation assessment for Zurich
S Hörl, C Ruch, F Becker, E Frazzoli, KW Axhausen
2018 TRB Annual Meeting Online, 18-02171, 2018
Design and control of a spherical omnidirectional blimp
M Burri, L Gasser, M Käch, M Krebs, S Laube, A Ledergerber, D Meier, ...
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines
L Sieber, C Ruch, S Hörl, KW Axhausen, E Frazzoli
Transportation research part A: policy and practice 134, 35-51, 2020
Quantifying the efficiency of ride sharing
C Ruch, CQ Lu, L Sieber, E Frazzoli
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5811-5816, 2020
Scalable model predictive control for autonomous mobility-on-demand systems
A Carron, F Seccamonte, C Ruch, E Frazzoli, MN Zeilinger
IEEE Transactions on Control Systems Technology 29 (2), 635-644, 2019
Rule-based price control for bike sharing systems
C Ruch, J Warrington, M Morari
2014 European control conference (ECC), 708-713, 2014
The+ 1 method: model-free adaptive repositioning policies for robotic multi-agent systems
C Ruch, J Gächter, J Hakenberg, E Frazzoli
IEEE Transactions on Network Science and Engineering 7 (4), 3171-3184, 2020
Learning to operate a fleet of cars
C Fluri, C Ruch, J Zilly, J Hakenberg, E Frazzoli
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2292-2298, 2019
The ai driving olympics at neurips 2018
J Zilly, J Tani, B Considine, B Mehta, AF Daniele, M Diaz, G Bernasconi, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
Imbalance in mobility-on-demand systems: A stochastic model and distributed control approach
M Albert, C Ruch, E Frazzoli
ACM Transactions on Spatial Algorithms and Systems (TSAS) 5 (2), 1-22, 2019
The value of coordination in one-way mobility-on-demand systems
C Ruch, SM Richards, E Frazzoli
IEEE Transactions on Network Science and Engineering 7 (3), 1170-1181, 2019
Quantifying the benefits of ride sharing
C Ruch, CQ Lu, L Sieber, E Frazzoli
ETH Zurich, 2019
Autonomous mobility-on-demand providing superior public transportation in rural areas
C Ruch, L Sieber, S Hörl, KW Axhausen, E Frazzoli
Technical Report. ETH Zürich, 2018
Aircraft, methods for providing optical information, method for transmission of acoustic information and method for observing or tracking an object
A Ledergerber, A Schaffner, C Ruch, D Meier, J Weichart, L Gasser, ...
US Patent App. 14/395,657, 2015
The impact of fleet coordination on taxi operations
C Ruch, S Hörl, J Gächter, J Hakenberg
Journal of Advanced Transportation 2021 (1), 2145716, 2021
Simulation-based assessment of parking constraints for automated mobility on demand: a case study of Zurich
C Ruch, R Ehrler, S Hörl, M Balac, E Frazzoli
Vehicles 3 (2), 272-286, 2021
How many parking spaces does a mobility-on-demand system require?
C Ruch, S Hörl, R Ehrler, M Balać, E Frazzoli
ETH Zurich, 2019
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