507
Views
5
CrossRef citations to date
0
Altmetric
Research Article

An optimization-based planning tool for on-demand mobility service operations

ORCID Icon, , , , , & show all
Pages 45-56 | Received 01 Dec 2019, Accepted 01 Nov 2020, Published online: 24 Nov 2020

References

  • Adams, E. (2017). How long, really, until self-driving cars hit the streets? – The drive.
  • Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., & Rus, D. (2017). On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment. Proceedings of the National Academy of Sciences of the United States of America, 114(3), 462–467. https://doi.org/https://doi.org/10.1073/pnas.1611675114
  • Auld, J., Sokolov, V., & Stephens, T. S. (2017). Analysis of the effects of connected–automated vehicle technologies on travel demand. Transportation Research Record: Journal of the Transportation Research Board, 2625(1), 1–8.
  • Basu, R., Araldo, A., Akkinepally, A. P., Nahmias Biran, B. H., Basak, K., Seshadri, R., Deshmukh, N., Kumar, N., Azevedo, C. L., & Ben-Akiva, M. (2018). Automated mobility-on-demand vs. mass transit: a multi-modal activity-driven agent-based simulation approach. Transportation Research Record: Journal of the Transportation Research Board, 2672(8), 608–618.
  • Brooker, A.,Gonder, J.,Wang, L.,Wood, E. et al. (2015). FASTSim: A model to estimate vehicle efficiency, cost, and performance. SAE Technical Paper 2015-01-0973. https://doi.org/https://doi.org/10.4271/2015-01-0973.
  • Brown, A., Gonder, J., & Repac, B. (2014). An analysis of possible energy impacts of automated vehicles. (pp. 137–153). Springer.
  • Burns, L. D., Jordan, W. C., & Scarborough, B. A. (2013). Transforming personal mobility.
  • Chen, T. D., & Kockelman, K. M. (2016). Management of a shared autonomous electric vehicle fleet: Implications of pricing schemes. Transportation Research Record: Journal of the Transportation Research Board, 2572(1), 37–46.
  • CITYMOBIL2 (2016). Final report summary – CityMobile2.
  • EasyMile (2019). EasyMile’s use cases: Discover our worldwide projects – Easymile.
  • Fagnant, D. J., Kockelman, K. M., & Bansal, P. (2016). Operations of shared autonomous vehicle fleet for Austin, Texas, Market. Transportation Research Record: Journal of the Transportation Research Board, 2563(1), 98–106.
  • Glover, F. (1989). Tabu search—Part I. ORSA Journal on Computing, 1(3), 190–206.
  • Greenblatt, J. B., & Shaheen, S. (2015). Automated vehicles, on-demand mobility, and environmental impacts. Current Sustainable/Renewable Energy Reports, 2(3), 74–81.
  • Haghani, A., & Yang, S. (2007). Real-time emergency response fleet deployment: concepts, systems, simulation & case studies. In Dynamic fleet management (pp. 133–162). Springer US. https://doi.org/https://doi.org/10.1007/978-0-387-71722-7_7
  • Henaghan, J. (2018). Preparing communities for autonomous vehicles.
  • Hyland, M., & Mahmassani, H. S. (2018). Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests. Transportation Research Part C: Emerging Technologies, 92(April), 278–297. https://doi.org/https://doi.org/10.1016/j.trc.2018.05.003
  • Jager, B., Agua, F. M. M., & Lienkamp, M. (2017). Agent-based simulation of a shared, autonomous and electric on-demand mobility solution [Paper presentation]. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 250–255. https://doi.org/https://doi.org/10.1109/ITSC.2017.8317947
  • Jaller, M., Pourrahmani, E., Rodier, C. J., & Bischoff, J. (2019). Simulation-optimization framework to evaluate a sustainable first mile transit access program using shared mobility.
  • Korosec, K. (2018). Waymo launches self-driving car service Waymo One | TechCrunch.
  • Krajzewicz, D., Erdmann, J., Behrisch, M., & Laura, B. (2012). Recent development and applications of SUMO – simulation of urban mobility. International Journal on Advances in Systems and Measurements, 5(3–4), 128–138. http://sumo.sourceforge.net/
  • Levin, M. W., Kockelman, K. M., Boyles, S. D., & Li, T. (2017). A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application. Computers, Environment and Urban Systems, 64, 373–383.
  • Liu, J., Kockelman, K. M., Boesch, P. M., & Ciari, F. (2017). Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation. Transportation, 44(6), 1261–1278. https://doi.org/https://doi.org/10.1007/s11116-017-9811-1
  • Local Motors (2018). Driverless shuttle is coming to phoenix. Local Motors.
  • Maciejewski, M., & Nagel, K. (2013). Simulation and dynamic optimization of taxi services in MATSim.
  • Martinez, L. M., & Viegas, J. M. (2017). Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon. Portugal. International Journal of Transportation Science and Technology, 6(1), 13–27. https://doi.org/https://doi.org/10.1016/J.IJTST.2017.05.005
  • PTV (2019). Planning and operating on-demand sharing mobility. PTV.
  • Seattle Department of Transportation. (2017). New mobility playbook appendix A (further actions). Seattle Department of Transportation.
  • Seow, K. T., Dang, N. H., & Lee, D. H. (2010). A collaborative multiagent taxi-dispatch system. IEEE Transactions on Automation Science and Engineering, 7(3), 607–616. https://doi.org/https://doi.org/10.1109/TASE.2009.2028577
  • Shaheen, S., & Cohen, A. (2016) Shared mobility: Current practices and guiding principles | transportation sustainability research center [Paper presentation].
  • Shaheen, S., Cohen, A., & Martin, E. (2018). U.S. Department of transportation’s mobility on demand initiative: Moving the economy with innovation and understanding. In Transportation research circular (Issue E-C231). Transportation Research Board.
  • Soteropoulos, A., Berger, M., & Ciari, F. (2019). Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies. Transport Reviews, 39(1), 29–49.
  • Stocker, A., & Shaheen, S. (2017). Shared automated vehicles: Review of business models. ITF.
  • University of Michigan. (2019). Mcity driverless shuttle is back! – Mcity. University of Michigan
  • Wadud, Z., MacKenzie, D., & Leiby, P. (2016). Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transportation Research Part A: Policy and Practice, 86, 1–18.
  • Weiss, A., Salehin, M. F., & Habib, K. N. (2019). A joint RP-off-SP survey to understand the impacts of autonomous vehicle on travel mode choices in the Greater Toronto Area [Paper presentation]. 98th Annual Meeting of TRB.
  • Wen, J., Chen, Y. X., Nassir, N., & Zhao, J. (2018). Transit-oriented autonomous vehicle operation with integrated demand-supply interaction. Transportation Research Part C: Emerging Technologies, 97(January), 216–234.
  • Young, S. E., Hou, Y., Garikapati, V., Chen, Y., & Zhu, L. (2017). Initial assessment and modeling framework development for automated mobility districts [Paper presentation]. ITS World Congress, 1–13.
  • Zhu, L., Garikapati, V., Chen, Y., Hou, Y., Aziz, H. M. A., & Young, S. (2018). Quantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation [Paper presentation]. International Conference on Transportation and Development 2018. https://doi.org/https://doi.org/10.1061/9780784481530.010
  • Zhu, L., Wang, J., Garikapati, V., & Young, S. (2020). Decision support tool for planning neighborhood-scale deployment of low-speed shared automated shuttles. Transportation Research Record: Journal of the Transportation Research Board, 2674(9), 1–14.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.