| 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 | 166* | |
| 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 | 100 | 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 | 90 | 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 | 75 | 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 | 72 | 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 | 71 | 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 | 63 | 2020 |
| 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 | 38 | 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 | 38 | 2019 |
| Rule-based price control for bike sharing systems C Ruch, J Warrington, M Morari 2014 European control conference (ECC), 708-713, 2014 | 37 | 2014 |
| 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 | 27 | 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 | 19 | 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 | 13 | 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 | 11 | 2019 |
| Quantifying the benefits of ride sharing C Ruch, CQ Lu, L Sieber, E Frazzoli ETH Zurich, 2019 | 8 | 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 | 8* | 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 | 7 | 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 | 5 | 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 | 3 | 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 | 3 | 2019 |
Emilio FrazzoliProfessor of Dynamic Systems and ControlVerified email at ethz.ch
