The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand
Open accessAbstract
Automated vehicles (AVs) promise many benefits for future mobility. One of them is a reduction of the required total vehicle fleet size, especially if AVs are used predominantly as shared vehicles. This paper presents research on this potential reduction for the greater Zurich, Switzerland, region. Fleets of shared AVs serving a predefined demand were simulated with a simulation framework introduced in the paper. Scenarios combining levels of demand for AVs with levels of supply (i.e., AV fleet sizes) were created. An important contribution of this study is the use of travel demand at highly detailed spatial and temporal resolutions that goes beyond the simplifications used in previous studies on the topic. This detailed travel demand provides a more solid basis for the ongoing discussion about the future fleet size. It was found that for a given fleet performance target (here, the target was for 95% of all transport requests to be served within 5 min), the relationship between served demand and required fleet size was nonlinear and the ratio increased as demand increased. A scale effect was detected. This effect has the important implication that for different levels of demand the fleet is used more or less efficiently. This study also found that if waiting times of up to 10 min were accepted, a reduction of up to 90% of the total vehicle fleet could be possible even without active fleet management, like vehicle redistribution. Such effects require, however, that a large eno…
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“The modelling method from Bösch et al. (2016) is used for simulation of SAV operations.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Bösch et al. (2016)
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Cites
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177
The Multi-Agent Transport Simulation MATSim
Axhausen, K. W., & Zürich, E. (2016) · Ubiquity Press eBooks · doi:10.5334/baw · Cited by 1,060
Self-citationQuantifying the benefits of vehicle pooling with shareability networks
Santi, P., Resta, G., Szell, M., Sobolevsky, S. L., Strogatz, S. H., & Ratti, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403657111 · Cited by 746
Autonomous Vehicle Technology: A Guide for Policymakers
Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P. A., Samaras, C., & Oluwatola, O. A. (2014) · RAND Corporation eBooks · doi:10.7249/rr443 · Cited by 590
Spieser, K., Treleaven, K., Zhang, R., Frazzoli, E., Morton, D., & Pavone, M. (2014) · Lecture notes in mobility · doi:10.1007/978-3-319-05990-7_20 · Cited by 442
Urban Mobility System Upgrade: How shared self-driving cars could change city trafficPreprint
Itf (2015) · RePEc: Research Papers in Economics · Cited by 198
Relocation Strategies and Algorithms for Free-Floating Car Sharing Systems
Weikl, S., & Bogenberger, K. (2013) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2013.2267810 · Cited by 183
Transportation Research Record: Journal of the Transportation Research Board, No. 1977
(2006) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1977-01 · Cited by 137
Models, algorithms, and evaluation for autonomous mobility-on-demand systems
Zhang, R., Spieser, K., Frazzoli, E., & Pavone, M. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7171122 · Cited by 75
Agent-based simulation of autonomous cars
Bösch, P. M., & Ciari, F. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7171123 · Cited by 43
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Research works printed but not linked: 6
- 2013, Preliminary Statement of Policy Concerning Automated Vehicles
- Lutin J. M., 2013, ITE Journal, 83, 28
- Burns L. D., 2013, Transforming Personal Mobility
- Zachariah J., 2014, Presented at 93rd Annual Meeting of the Transportation Research Board
- Chen T. D., 2015, Presented at 14th International Conference on Travel Behaviour Research
- Balac M., 2015, Presented at 15th Swiss Transport Research Conference
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Ciari, F., Janzen, M., & Ziemlicki, C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815018-4.00008-5 · Cited by 2
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Ye, J., Pantuso, G., & Pisinger, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16579-5_7 · Cited by 2
Analysis of Research Progress of Automatic Driving
Yan, C. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v37i.6083 · Cited by 2
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Noruzoliaee, M. (2018) · Figshare · Cited by 2
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Oh, S., Lentzakis, A. F., Seshadri, R., & Ben-Akiva, M. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.05092 · Cited by 2
Karamanis, R., Cheong, H.-I., Hu, S., Stettler, M. E. J., & Angeloudis, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.11085 · Cited by 2
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Levin, M. W., & Rey, D. (2025) · Networks and Spatial Economics · doi:10.1007/s11067-025-09680-4 · Cited by 1
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von Schmidt, A., Heinrichs, M., & Behrisch, M. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.03.028 · Cited by 1
Wang, D., Sun, T., Xie, A., & Cheng, Z. (2023) · Sustainability · doi:10.3390/su15021535 · Cited by 1
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Fortes, M. B. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.16.2020.tde-04022020-175103 · Cited by 1
Ghaffar, A., Shariat, N., & Hyland, M. F. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4168352 · Cited by 1
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Zhang, Z., Liu, J., Nie, Q., & Jones, S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4486486 · Cited by 1
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Dytckov, S. (2023) · doi:10.24834/isbn.97891787766 · Cited by 1
Kirchschlaeger, P. G. (2024) · Nomos Verlagsgesellschaft mbH & Co. KG eBooks · doi:10.5771/9783748918462-469 · Cited by 1
Shared autonomous vehicle service design, modeling, and simulation
Vosooghi, R. (2019) · theses.fr (ABES) · doi:10.70675/8db1ee26z80bcz4f20z8cbbze13672754a87 · Cited by 1
Market Schedule Equilibrium for Multimodal Systems
Chow, J. Y. J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813613-3.00004-8
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Oh, S., Kondor, D., Seshadri, R., Zhou, M. J., Le, D.-T., & Ben-Akiva, M. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.07673
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Yang, J., & Dong, J. (2020) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2020-01-5148
Richter, M. A., & Heß, J. (2021) · Journal für Mobilität und Verkehr · doi:10.34647/jmv.nr8.id51
Human-centered geometric design of roads using an autonomous vehicle problem
Sen, S., & Roesler, J. R. (2024) · ASEE Middle Atlantic Section Spring Conference · doi:10.18260/1-2--36302
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Elvarsson, A. B., & Sigþórsson, H. (2020) · Icelandic Journal of Engineering · doi:10.33112/ije.26.2
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Enam, A., de Souza, F., Verbas, Ö., Stinson, M. A., & Auld, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-08-102671-7.10383-5
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(2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813613-3.09995-2
Gkritza, K., Gkartzonikas, C., Losada-Rojas, L. L., & Zhang, Z. (2022) · doi:10.5703/1288284317569
Poulhès, A., & Berrada, J. (2022) · Revue d économie industrielle · doi:10.4000/rei.11599
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Costa, R. L. D., Costa, A. A., Pereira, L., Dias, Á., & Gonçalves, R. (2023) · International Journal of Business Innovation and Research · doi:10.1504/ijbir.2023.130863
Mojumder, M. N. H., & Jin, X. (2023) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484876.024 · Cited by 1
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Gonzalez, P. P. (2020) · doi:10.47749/t/unicamp.2020.1161328
Muller, M., Correia, G. H. D. A., Park, S., Zhang, Y., Fusco, B., & Lee, R. (2024) · Multimodal Transportation · doi:10.1016/j.multra.2024.100171
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Metadata
- Authors
- Boesch, P. M., Ciari, F., & Axhausen, K. W.
- Affiliations
- Institut für Verkehrsplanung und Transportsysteme, Eidgenössische Technische Hochschule Zürich, CH-8093 Zurich, Switzerland
- ETH Zurich (CH)
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2016-01
- Volume
- 2542
- Issue
- 1
- Pages
- 111-119
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2405705374
- Cited by
- 253
- References
- 12
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 17 · 2023: 30 · 2022: 29 · 2021: 45 · 2020: 39 · 2019: 34 · 2018: 26 · 2017: 11 · 2016: 2
- FWCI
- 21.20
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
- Repository for Publications and Research Data (ETH Zurich) (acceptedVersion, other-oa)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- ETH Zürich Research Collection
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- autonomous vehicles, shared mobility, vehicle fleet size, fleet size reduction, demand level, scale effects, fleet management, travel demand, Zürich region
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