Mobility and Energy Impacts of Shared Automated Vehicles: a Review of Recent Literature
Purpose of Review
The purpose of this review is to present findings from recent research on Shared automated vehicles (SAV) impacts on mobility and energy.
While the literature on potential SAV impacts on travel behavior and the environment is still developing, researchers have suggested that SAVs could reduce transportation costs and incur minimal increases in total trip time due to efficient routing to support pooling. Researchers also speculate that SAVs would result in a 55% reduction in energy use and ~ 90% reduction in greenhouse gas (GHG) emissions.
SAV impacts on mobility and energy are uncertain. Researchers should carefully track SAV technology developments and adjust previous model assumptions based on real-world data to produce better impact estimates. SAVs could prove to be a next technological advancement that reshapes the transportation system by providing a safer, efficient, and less costly travel alternative.
KeywordsShared automated vehicles Travel behavior Mobility Greenhouse gases Energy consumption Shared automated vehicle policy
Compliance with Ethical Standards
Conflict of Interest
Susan Shaheen and Mohamed Amine Bouzaghrane declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
- 1.Broggi A, Bertozzi M, Fascioli A, Conte G. Automatic vehicle guidance: the experience of the ARGO autonomous vehicle. World Sci. 1999. Available at: http://millemiglia.ce.unipr.it/ARGO/flyer.pdf1999. Accessed 2019 Apr 9].
- 2.Dickmanns ED. Dynamic vision for perception and control of motion: Springer; 2007.Google Scholar
- 3.Forrest A, Konca M. Autonomous cars and society. 2007. Available at: https://web.wpi.edu/Pubs/E-project/Available/E-project-043007-205701/unrestricted/IQPOVP06B1.pdf2007. Accessed 2019 Apr 9.
- 4.EUREKA. Programme for a european traffic system with highest efficiency and unprecedented safety | EUREKA. Available at: http://www.eurekanetwork.org/project/id/45. Accessed 2019 Apr 9.
- 5.National Highway Traffic Safety Administration (NHTSA). Automated Driving Systems 2.0: A Vision For Safety. 2017. Available at: https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/13069a-ads2.0_090617_v9a_tag.pdf2017. Accessed 2019 Apr 17.
- 7.Business Insider. Companies making driverless cars by 2020. Available at: https://www.businessinsider.com/google-apple-tesla-race-to-develop-self-driving-cars-by-2020-2016-42016. Accessed 2019 Apr 9.
- 8.Engadget. Waymo launches its first commercial self-driving car service. Available at: https://www.engadget.com/2018/12/05/waymo-one-launches/2018. Accessed 2019 Apr 9.
- 9.Wired. Elon Musk promises a really truly self-driving Tesla in 2020 | WIRED. Available at: https://www.wired.com/story/elon-musk-tesla-full-self-driving-2019-2020-promise/2019. Accessed 2019 Apr 9.
- 12.Schoettle B, Sivak M. A survey of public opinion about autonomous and self-driving vehicles in the U.S., the U.K., and Australia. University of Michigan, Ann Arbor, Transportation Research Institute; 2014. Available at: https://deepblue.lib.umich.edu/handle/2027.42/1083842014. Accessed 2019 Mar 15.
- 13.•• Krueger R, Rashidi TH, Rose JM. Preferences for shared autonomous vehicles. Transp Res Part C Emerg Technol. Pergamon. 2016;69:343–55. https://doi.org/10.1016/J.TRC.2016.06.015This article provides important insight on service characteristics that could affect the acceptability of SAVs. CrossRefGoogle Scholar
- 20.Gurumurthy KM, Kockelman KM. Analyzing the dynamic ride-sharing potential for shared autonomous vehicle fleets using cellphone data from Orlando. Florida. Comput Environ Urban Syst. Pergamon. 2018;71:177–85. https://doi.org/10.1016/J.COMPENVURBSYS.2018.05.008.CrossRefGoogle Scholar
- 21.• Chen TD, Kockelman KM, Hanna JP. Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transp Res Part A Policy Pract. Elsevier Ltd. 2016;94:243–54. https://doi.org/10.1016/j.tra.2016.08.020This article explores different operational scenarios and presents hurdles to effective SAEV operations. Google Scholar
- 24.Pakusch C, Stevens G, Bossauer P. Shared autonomous vehicles: potentials for a sustainable mobility and risks of unintended effects. ICT4S Epic Ser Comput. 2018:258–45.Google Scholar
- 26.Harper CD, Hendrickson CT, Mangones S, Samaras C. Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions. Transp Res Part C Emerg Technol. Pergamon. 2016;72:1–9. https://doi.org/10.1016/J.TRC.2016.09.003.CrossRefGoogle Scholar
- 27.Harb M, Xiao Y, Circella G, Mokhtarian PL, Walker JL. Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment. Transportation (Amst). Springer US. 2018;45:1671–85. https://doi.org/10.1007/s11116-018-9937-9.CrossRefGoogle Scholar
- 29.Chase R. Shared Mobility Principles for Livable Cities. Available at: https://www.sharedmobilityprinciples.org/2017. Accessed 2019 Apr 9.
- 32.Stocker A, Shaheen S. Shared automated vehicles: Review of Business Models. 2017. Available at: https://www.itf-oecd.org/sites/default/files/docs/shared-automated-vehicles-business-models.pdf2017. Accessed 2019 Apr 9.
- 36.Ma Q, Kockelman K, Segal M. Making the most of curb spaces in a world of shared autonomous vehicles: a case study of Austin, Texas. Transp Res Board 97th Annu Meet. Available at: http://amonline.trb.org/2017trb-1.3983622/t027-1.3994219/709-1.3994795/18-01266-1.3994820/18-01266-1.3994821?qr=12018. Accessed 2019 Apr 9.
- 38.Stocker A, Shaheen S. Shared automated vehicle (SAV) pilots and automated vehicle policy in the U.S.: current and future developments. Cham: Springer. p. 131–47. Available at:. https://doi.org/10.1007/978-3-319-94896-6_122019.
- 39.Shaheen S. Shared mobility and automation: empirical evidence and policy implications. Available at: https://3rev.ucdavis.edu/wp-content/uploads/2019/03/Susan.Shaheen_3RPolicy-Conference_March2019.pdf2019.
- 40.•• Shaheen S, Cohen A. Shared ride services in North America: definitions, impacts, and the future of pooling. Transp Rev. Taylor & Francis. 2018:1–16. https://doi.org/10.1080/01441647.2018.1497728This article highlights the impacts and current understanding of shared-ride services and provides recommendations to governmental agencies for managing the future convergence of shared mobility services and automated vehicles. CrossRefGoogle Scholar
- 42.Forscher T, Bayen A, Shaheen S. Road usage charging (RUC). ITS Berkeley Policy Briefs. 2018. https://doi.org/10.7922/G2KD1W2R.
- 43.Simoni MD, Kockelman KM, Gurumurthy KM, Bischoff J. Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios. Transp Res Part C Emerg Technol. Elsevier. 2019;98:167–85. https://doi.org/10.1016/j.trc.2018.11.002.CrossRefGoogle Scholar
- 44.Roe M, Toochek C. Curbside management strategies for improving transit reliability crub appeal. 2017. Available at: https://nacto.org/wp-content/uploads/2017/11/NACTO-Curb-Appeal-Curbside-Management.pdf2017. Accessed 2019 Apr 9.
- 45.International Transportation Forum. The share-use city: managing the curb. 2018. Available at: https://www.itf-oecd.org/sites/default/files/docs/shared-use-city-managing-curb_3.pdf2018 Accessed 2019 Apr 9.
- 46.National Academies of Sciences Medicine and Engineering. Socioeconomic impacts of automated and connected vehicles. Socioecon. Impacts Autom. Connect. Veh. Washington, DC: The National Academies Press; 2019. p. 2019.Google Scholar
- 47.U.S. Energy Information Administration. Monthly energy review–April 2019. 2019. Available at: https://www.eia.gov/totalenergy/data/monthly/pdf/mer.pdf2019. .
- 48.U.S. Environmental Protection Agency. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2017. 1990. Available at: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks1990. Accessed 2019 Apr 25.
- 52.Zhang W, Guhathakurta S, Fang J, Zhang G. The performance and benefits of a shared autonomous vehicles based 2 dynamic ridesharing system: an agent-based simulation approach. Transp Res Board. 2015;15.Google Scholar
- 55.• Wadud Z. Help or hindrance? Travel and energy implications of highly automated vehicles. Transp Res Part A. 2016;86:1–18. https://doi.org/10.1016/j.tra.2015.12.001This article presents estimates of changes in energy consumption due to different mechanisms related to vehicle automation and provides estimates of changes in energy consumption under multiple aumation scenarios. CrossRefGoogle Scholar
- 56.Lu M, Taiebat M, Xu M, Hsu S-C. Multiagent spatial simulation of autonomous taxis for urban commute: travel economics and environmental impacts. J Urban Plan Dev. 2018;144:04018033. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000469.CrossRefGoogle Scholar