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Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach

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  • Luo, Qi
  • Saigal, Romesh
  • Chen, Zhibin
  • Yin, Yafeng

Abstract

Early deployment of automated vehicles (AVs) may likely cause a loss of efficiency in the transportation system. However, after there are a sufficient number of such vehicles in the traffic stream, many benefits can be realized. It thus appears sensible to provide subsidies to promote the early adoption of AVs and shorten the transition period. This paper investigates an optimal subsidy policy that accelerates the deployment of AVs from lower to higher market penetration rates. The policy can maximize the government agency’s expected total payoff associated with the AV deployment. The main contribution is a dynamic games approach that considers the uncertainty in the market forecast and the information asymmetry between the government agency and the subsidized entities.

Suggested Citation

  • Luo, Qi & Saigal, Romesh & Chen, Zhibin & Yin, Yafeng, 2019. "Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 226-243.
    • Handle: RePEc:eee:transb:v:129:y:2019:i:c:p:226-243
    DOI: 10.1016/j.trb.2019.09.011
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    as
    1. Jakša Cvitanić & Dylan Possamaï & Nizar Touzi, 2018. "Dynamic programming approach to principal–agent problems," Finance and Stochastics, Springer, vol. 22(1), pages 1-37, January.
    2. Alan V Deardorff, 2014. "Terms of Trade:Glossary of International Economics," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8847, September.
    3. Alan V. Deardorff, 2014. "Glossary of Terms in International Economics," World Scientific Book Chapters, in: Terms of Trade Glossary of International Economics, chapter 1, pages 1-477, World Scientific Publishing Co. Pte. Ltd..
    4. Loeb, Benjamin & Kockelman, Kara M., 2019. "Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 374-385.
    5. Armstrong, Mark & Sappington, David E.M., 2007. "Recent Developments in the Theory of Regulation," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 27, pages 1557-1700, Elsevier.
    6. Daniel J. Fagnant & Kara M. Kockelman, 2018. "Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas," Transportation, Springer, vol. 45(1), pages 143-158, January.
    7. Frank M. Bass & Alain V. Bultez, 1982. "Technical Note—A Note on Optimal Strategic Pricing of Technological Innovations," Marketing Science, INFORMS, vol. 1(4), pages 371-378.
    8. Greenblatt, Jeffery & Shaheen, Susan PhD, 2015. "Automated Vehicles, On-Demand Mobility and Environmental Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt23r1h80t, Institute of Transportation Studies, UC Berkeley.
    9. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    10. Ghiasi, Amir & Hussain, Omar & Qian, Zhen (Sean) & Li, Xiaopeng, 2017. "A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 266-292.
    11. Qi Luo & Romesh Saigal, 2017. "A Note on the Multi-Agent Contracts in Continuous Time," Papers 1710.00377, arXiv.org, revised Oct 2017.
    12. Chen, Danjue & Ahn, Soyoung & Chitturi, Madhav & Noyce, David A., 2017. "Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 196-221.
    13. Shlomo Kalish & Gary L. Lilien, 1983. "Optimal Price Subsidy Policy for Accelerating the Diffusion Of Innovation," Marketing Science, INFORMS, vol. 2(4), pages 407-420.
    14. Yaping Shan, 2017. "Optimal contracts for research agents," RAND Journal of Economics, RAND Corporation, vol. 48(1), pages 94-124, March.
    15. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    16. Hani S. Mahmassani, 2016. "50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations," Transportation Science, INFORMS, vol. 50(4), pages 1140-1162, November.
    17. Vijay Mahajan & Eitan Muller & Frank M. Bass, 1995. "Diffusion of New Products: Empirical Generalizations and Managerial Uses," Marketing Science, INFORMS, vol. 14(3_supplem), pages 79-88.
    18. Yuliy Sannikov, 2008. "A Continuous-Time Version of the Principal-Agent Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 957-984.
    19. Chen, Zhibin & He, Fang & Yin, Yafeng & Du, Yuchuan, 2017. "Optimal design of autonomous vehicle zones in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 44-61.
    20. Wadud, Zia, 2017. "Fully automated vehicles: A cost of ownership analysis to inform early adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 163-176.
    21. Decker,Christopher, 2014. "Modern Economic Regulation," Cambridge Books, Cambridge University Press, number 9781107024236, February.
    22. Ramin Shabanpour & Ali Shamshiripour & Abolfazl Mohammadian, 2018. "Modeling adoption timing of autonomous vehicles: innovation diffusion approach," Transportation, Springer, vol. 45(6), pages 1607-1621, November.
    Full references (including those not matched with items on IDEAS)

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